Esempio n. 1
0
TH1D* getQCD(int rebinFact){
	TString dir = "rootFiles/";
	
	TFile* file = new TFile(dir +"qcdest.root");		
	TH1D* plot = (TH1D*) file->Get("muon_AbsEta_0btag");

// 	for(int i = 1; i <= plot->GetNbinsX(); i++){
// 	plot->SetBinError(i, 0.0);
// 	}

	plot->SetFillColor(kYellow);
	plot->SetLineColor(kYellow);
	plot->SetMarkerStyle(1);
		
	TH1D* copyplot = new TH1D("qcd plot", "qcd plot", 30, 0.0, 3.0);
	
	for(int i = 1; i <= plot->GetNbinsX(); i++){
	copyplot->SetBinContent(i, plot->GetBinContent(i));
	//copyplot->SetBinError(i, plot->GetBinError(i));
	}
	copyplot->SetFillColor(kYellow);
	copyplot->SetLineColor(kYellow);
	copyplot->SetMarkerStyle(1);
	copyplot->Scale(1./copyplot->Integral());	
	copyplot->Rebin(rebinFact);
	
	//file->Close("R");
	return copyplot;
	//file->Close();
}
Esempio n. 2
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TH1D* getSample(TString sample, double weight){
	TString dir = "rootFilesV4/central/";
	TFile* file = new TFile(dir + sample + "_19584pb_PFElectron_PFMuon_PF2PATJets_PFMET.root");
	//TDirectoryFile* folder = (TDirectoryFile*) file->Get("TTbarPlusMetAnalysis/QCD No Iso/Muon/");
	
	TH1D* plot = (TH1D*) file->Get("EventCount/"+Variable);

        if(sample == "TTJet"){
	plot->SetFillColor(kRed+1);
        plot->SetLineColor(kRed+1);
	}else if(sample == "WJetsToLNu" || sample == "W1Jet" || sample == "W2Jets"|| sample == "W3Jets"|| sample == "W4Jets"){
	plot->SetLineColor(kGreen-3);	  
  	plot->SetFillColor(kGreen-3);
	}else if(sample == "DYJetsToLL" || sample == "DY1JetsToLL" || sample == "DY2JetsToLL" || sample == "DY3JetsToLL" || sample == "DY4JetsToLL"){
	plot->SetFillColor(kAzure-2);
	plot->SetLineColor(kAzure-2);
	}else if(sample == "QCD_Pt_20_MuEnrichedPt_15" || sample == "QCD_Pt-15to20_MuEnrichedPt5" || sample=="QCD_Pt-15to20_MuEnrichedPt5" || sample =="QCD_Pt-20to30_MuEnrichedPt5" || sample ==    "QCD_Pt-30to50_MuEnrichedPt5" || sample ==    "QCD_Pt-50to80_MuEnrichedPt5" || sample ==    "QCD_Pt-80to120_MuEnrichedPt5" || sample ==   "QCD_Pt-120to170_MuEnrichedPt5" || sample ==  "QCD_Pt-170to300_MuEnrichedPt5" || sample ==  "QCD_Pt-300to470_MuEnrichedPt5" || sample ==  "QCD_Pt-470to600_MuEnrichedPt5" || sample ==  "QCD_Pt-800to1000_MuEnrichedPt5" || sample =="QCD_Pt-1000_MuEnrichedPt5" 	 ){
	plot->SetFillColor(kYellow);
	plot->SetLineColor(kYellow);
	}else if(sample == "T_t-channel" || sample == "T_tW-channel" || sample == "T_s-channel" || sample == "Tbar_t-channel" || sample == "Tbar_tW-channel" || sample == "Tbar_s-channel"){
	plot->SetFillColor(kMagenta);
	plot->SetLineColor(kMagenta);
	}
	
	if(sample != "SingleMu")
	plot->Scale(19.605/19.584);
	//plot->Scale(weight);
	
	plot->Rebin(rebinFact);
	
	return plot;

}
Esempio n. 3
0
void loglikdistrib(Int_t ntrials = 10000, Bool_t print = kFALSE)
{
  // compute distribution of log likelihood value
  TH1D * hmc   = gStack[gPadNr][gOrder[gPadNr][0]];
  TH1D * hdata = gStack[gPadNr][gMaxProcess-1];
  Int_t nbins = hmc->GetNbinsX();
  Double_t loglik = loglikelihood(hmc, hdata, 1, nbins);
  TH1D * htest = new TH1D(*hdata);
  TH1D * lldistrib = new TH1D("lldistrib", "log(Likelihood) distribution", 
			      1000, loglik-200, loglik+200);
  setopt(lldistrib);
  for (Int_t n = 0; n < ntrials; n++) {
    // generate poisson around theorie
    for (Int_t i = 1; i <= nbins; i++) {
      htest->SetBinContent(i, gRandom->Poisson(hmc->GetBinContent(i)));
    }
    lldistrib->Fill(loglikelihood(hmc, htest, 1, nbins));
  }
  TCanvas * llcanvas = new TCanvas("llcanvas", "Log(Likelihood) distribution", 
				   40, 40, 800, 600);
  setopt(llcanvas);
  lldistrib->SetFillColor(kYellow);
  lldistrib->Draw();
  lldistrib->GetYaxis()->SetTitle("Anzahl Ereignisse");
  lldistrib->GetXaxis()->SetTitle("-ln L");
  // autozoom
  Int_t lowbin = 1;
  while (lldistrib->GetBinContent(lowbin) == 0)
    lowbin++;
  Int_t highbin = lldistrib->GetNbinsX();
  while (lldistrib->GetBinContent(highbin) == 0)
    highbin--;
  lldistrib->SetAxisRange(lldistrib->GetBinLowEdge(lowbin), 
			  lldistrib->GetBinLowEdge(highbin));
  TH1D * hworse = (TH1D *) lldistrib->Clone();
  for (Int_t nbin = 1; nbin < 501; nbin++) {
    hworse->SetBinContent(nbin, 0);
  }
  hworse->SetFillColor(95);
  hworse->Draw("same");
  Double_t pvalue = lldistrib->Integral(501,1000) / lldistrib->Integral();
  TLatex * tex = new TLatex(0.18, 0.96, Form("-ln L_{obs} = %5.2f", loglik));
  tex->SetNDC();
  tex->SetTextAlign(13);
  tex->Draw();
  tex = new TLatex(0.18, 0.86, Form("CL_{obs} = %.3f", pvalue));
  tex->SetNDC();
  tex->SetTextAlign(13);
  tex->Draw();
  TLine * l = new TLine(loglik, 0, loglik, lldistrib->GetMaximum());
  l->SetLineWidth(3);
  l->SetLineColor(kBlue);
  l->Draw();
  llcanvas->Modified();
  llcanvas->Update();
  if (print)
    llcanvas->Print("lldistrib.pdf");
  cd(gPadNr+1);
}
Esempio n. 4
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void plotTurnOn(TTree* inttree, TString triggerpass, TString variable, TString varname, TString varlatex)
{
  if(varname=="vtxprob")
    {
      BIN_MIN = 0;
      BIN_MAX = 1;
    }
  else if(varname=="ffls3d")
    {
      BIN_MIN = 0;
      BIN_MAX = 50;
    }
  else if(varname=="cosalpha")
    {
      BIN_MIN = 0.9;
      BIN_MAX = 1;
    }
  TH1D* hAll = new TH1D(Form("h%s_%s_All",triggerpass.Data(),varname.Data()),Form(";%s;Probability",varlatex.Data()),BIN_NUM,BIN_MIN,BIN_MAX);
  inttree->Project(Form("h%s_%s_All",triggerpass.Data(),varname.Data()),variable,prefilter);
  TH1D* hMBseed = new TH1D(Form("h%s_%s_MBseed",triggerpass.Data(),varname.Data()),Form(";%s;Probability",varlatex.Data()),BIN_NUM,BIN_MIN,BIN_MAX);
  inttree->Project(Form("h%s_%s_MBseed",triggerpass.Data(),varname.Data()),variable,Form("%s&&%s",prefilter.Data(),triggerpass.Data()));
  //cout<<hAll->Integral()<<endl;
  hAll->Scale(1./hAll->Integral());
  hMBseed->Scale(1./hMBseed->Integral());
  hAll->SetStats(0);
  hMBseed->SetStats(0);
  hAll->SetMaximum(hMBseed->GetMaximum()*1.3);
  hAll->SetLineWidth(2);
  hAll->SetLineColor(kBlue-7);
  hAll->SetFillColor(kBlue-7);
  hAll->SetFillStyle(3001);
  hMBseed->SetLineWidth(2);
  hMBseed->SetLineColor(kRed);
  hMBseed->SetFillColor(kRed);
  hMBseed->SetFillStyle(3004);
  TCanvas* c = new TCanvas(Form("c%s_%s",triggerpass.Data(),varname.Data()),"",500,500);
  hAll->Draw();
  hMBseed->Draw("same");
  TLatex* tex = new TLatex(0.18,0.96,triggerpass);
  tex->SetNDC();
  tex->SetTextFont(42);
  tex->SetTextSize(0.04);
  tex->Draw();
  TLegend* leg = new TLegend(0.60,0.82,0.92,0.93);
  leg->SetFillStyle(0);
  leg->SetBorderSize(0);
  leg->AddEntry(hAll,"all","f");
  leg->AddEntry(hMBseed,"pass trigger","f");
  leg->Draw();
  c->SaveAs(Form("triggerturnonPlots/pthat%.0f/c%s_%s.pdf",pthat,triggerpass.Data(),varname.Data()));

}
void PlotWriteErrors(TFile* input, TFile* output, TString output_folder, TString canvas, TString Hist, TString Opt="")
{

  // Setup the canvas
  TCanvas *c1= new TCanvas(canvas,canvas,800,700);

  // Get the histograms from the files
  TH1D *Data = (TH1D*)input->Get(Hist);

  //check to make sure there are some events before setting the log scale
  if(Data->Integral() == 0 ) c1->SetLogy(0);
  else  c1->SetLogy(1);

  // Fill for histogram
  Data->SetFillColor(kBlue);
  Data->GetXaxis()->SetTitleSize(0.06);
  Data->GetXaxis()->SetTitleOffset(0.75);
  Data->GetYaxis()->SetTitleSize(0.05);
  Data->GetYaxis()->SetTitleOffset(1.00);

  // plot them
  Data->DrawCopy("hist");

  gPad->RedrawAxis();

  //write canvas as png
  c1->Print(TString(output_folder+canvas+".png"));  

  //write canvas to output file
  output->cd();
  c1->Write();
  return;
}
Esempio n. 6
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plotClasses(const char* canvas, const char* title,
	    int nClasses, const char classes[][200], 
	    const int* events, const double* weights)
{
  char evtitle[200], wttitle[200];
  strcpy(evtitle,title);
  strcpy(wttitle,title);
  strcat(evtitle,": Events");
  strcat(wttitle,": Weights");

  TCanvas *c 
    = new TCanvas(canvas,"SPR Input Classes",200,10,600,400);
  gStyle->SetPalette(1); 

  int maxEv = TMath::MaxElement(nClasses,events);
  double maxWt = TMath::MaxElement(nClasses,weights);

  TPad* pad1 = new TPad("events", evtitle,0,0,1.,0.5);
  TPad* pad2 = new TPad("weights",wttitle,0,0.5,1.,1.);
  pad1->Draw();
  pad2->Draw();

  // events
  pad1->cd();
  TH1I* hev = new TH1I("events",evtitle,nClasses,0,nClasses);
  for( int i=0;i<nClasses;i++ )
    hev->Fill(classes[i],events[i]);
  hev->LabelsDeflate("X");
  hev->SetLabelSize(0.06,"X");
  hev->SetLabelSize(0.1,"X");
  hev->SetLabelSize(0.1,"Y");
  hev->SetLineColor(4);
  hev->SetFillColor(4);
  hev->SetBarWidth(0.8);
  hev->SetBarOffset(0.1);
  TAxis* yaxis1 = hev->GetYaxis();
  yaxis1->SetRangeUser(0.,1.1*maxEv);
  hev->Draw("B");

  // weights
  pad2->cd();
  TH1D* hwt = new TH1D("weights",wttitle,nClasses,0,nClasses);
  for( int i=0;i<nClasses;i++ )
    hwt->Fill(classes[i],weights[i]);
  hwt->LabelsDeflate("X");
  hwt->SetLabelSize(0.06,"X");
  hwt->SetLabelSize(0.1,"X");
  hwt->SetLabelSize(0.1,"Y");
  hwt->SetLineColor(3);
  hwt->SetFillColor(3);
  hwt->SetBarWidth(0.8);
  hwt->SetBarOffset(0.1);
  TAxis* yaxis2 = hwt->GetYaxis();
  yaxis2->SetRangeUser(0.,1.1*maxWt);
  hwt->Draw("B");
}
Esempio n. 7
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TH1D* CutFlow::hashErrors(AllSamples samples, Variable variable){
	TH1D * hashErrors = allMChisto(samples, variable);

	hashErrors->SetFillColor(kBlack);
	hashErrors->SetFillStyle(3354);
	hashErrors->SetMarkerSize(0.);
	hashErrors->SetStats(0);

	return hashErrors;
}
Esempio n. 8
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void DynamicExec()
{
   // Example of function called when a mouse event occurs in a pad.
   // When moving the mouse in the canvas, a second canvas shows the
   // projection along X of the bin corresponding to the Y position
   // of the mouse. The resulting histogram is fitted with a gaussian.
   // A "dynamic" line shows the current bin position in Y.
   // This more elaborated example can be used as a starting point
   // to develop more powerful interactive applications exploiting CINT
   // as a development engine.
   //
   // Author:  Rene Brun
   
   TObject *select = gPad->GetSelected();
   if(!select) return;
   if (!select->InheritsFrom("TH2")) {gPad->SetUniqueID(0); return;}
   TH2 *h = (TH2*)select;
   gPad->GetCanvas()->FeedbackMode(kTRUE);

   //erase old position and draw a line at current position
   int pyold = gPad->GetUniqueID();
   int px = gPad->GetEventX();
   int py = gPad->GetEventY();
   float uxmin = gPad->GetUxmin();
   float uxmax = gPad->GetUxmax();
   int pxmin = gPad->XtoAbsPixel(uxmin);
   int pxmax = gPad->XtoAbsPixel(uxmax);
   if(pyold) gVirtualX->DrawLine(pxmin,pyold,pxmax,pyold);
   gVirtualX->DrawLine(pxmin,py,pxmax,py);
   gPad->SetUniqueID(py);
   Float_t upy = gPad->AbsPixeltoY(py);
   Float_t y = gPad->PadtoY(upy);

   //create or set the new canvas c2
   TVirtualPad *padsav = gPad;
   TCanvas *c2 = (TCanvas*)gROOT->GetListOfCanvases()->FindObject("c2");
   if(c2) delete c2->GetPrimitive("Projection");
   else   c2 = new TCanvas("c2","Projection Canvas",710,10,700,500);
   c2->SetGrid();
   c2->cd();

   //draw slice corresponding to mouse position
   Int_t biny = h->GetYaxis()->FindBin(y);
   TH1D *hp = h->ProjectionX("",biny,biny);
   hp->SetFillColor(38);
   char title[80];
   sprintf(title,"Projection of biny=%d",biny);
   hp->SetName("Projection");
   hp->SetTitle(title);
   hp->Fit("gaus","ql");
   hp->GetFunction("gaus")->SetLineColor(kRed);
   hp->GetFunction("gaus")->SetLineWidth(6);
   c2->Update();
   padsav->cd();
}
Esempio n. 9
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TH1D* CutFlow::readCutFlowHistogram(Sample sample, Variable variable) {

	cout << "plot: " << selection+"/"+variable.name << endl;

	TH1D* plot = (TH1D*) sample.file->Get(selection+"/"+variable.name);

	plot->SetFillColor(sample.fillColor);
	plot->SetLineColor(sample.lineColor);

	return plot;
}
Esempio n. 10
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TH1D *
GetITSsaSpectrum(TFile *file, Int_t part, Int_t charge, Int_t cent, Bool_t cutSpectrum = kTRUE, Bool_t addSystematicError = kTRUE)
{
  /* pt limits for combined spectra */
  Double_t ptMin[AliPID::kSPECIES] = {0., 0., 0.1, 0.2, 0.3};
  Double_t ptMax[AliPID::kSPECIES] = {0., 0., 0.6, 0.5, 0.6};

  TList *list = (TList *)file->Get("output");
  TH1D *hin = (TH1D *)list->FindObject(Form("h_%s_%s_cen_%d", ITSsaPartName[part], ITSsaChargeName[charge], cent));
  if (!hin) return NULL;  

  /* get systematics */
  TFile *fsys = TFile::Open("SPECTRASYS_ITSsa.root");
  TH1 *hsys = fsys->Get(Form("hSystTot%s%s", ITSsaChargeName[charge], ITSsaPartName[part]));
			
  TH1D *h = new TH1D(Form("hITSsa_cent%d_%s_%s", cent, AliPID::ParticleName(part), chargeName[charge]), "ITSsa", NptBins, ptBin);
  Double_t pt, width, value, error, sys;
  Int_t bin;
  for (Int_t ipt = 0; ipt < NptBins; ipt++) {
    /* get input bin */
    pt = h->GetBinCenter(ipt + 1);
    width = h->GetBinWidth(ipt + 1);
    bin = hin->FindBin(pt);
    /* sanity check */
    if (TMath::Abs(hin->GetBinCenter(bin) - pt) > 0.001 ||
	TMath::Abs(hin->GetBinWidth(bin) - width) > 0.001)
      continue;
    /* check pt limits */
    if (cutSpectrum && (pt < ptMin[part] || pt > ptMax[part])) continue;
    /* copy bin */
    value = hin->GetBinContent(bin);
    error = hin->GetBinError(bin);
    /*** TEMP ADD SYS ***/
    if (addSystematicError) {
      sys = hsys->GetBinContent(bin) * value;
      error = TMath::Sqrt(error * error + sys * sys);
    }
    h->SetBinContent(ipt + 1, value);
    h->SetBinError(ipt + 1, error);
  }

  h->SetTitle("ITSsa");
  h->SetLineWidth(1);
  h->SetLineColor(1);
  h->SetMarkerStyle(20);
  h->SetMarkerColor(1);
  h->SetFillStyle(0);
  h->SetFillColor(0);

  return h;
}
Esempio n. 11
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void plotter::draw_rec(TH1D* data_, TH1D* sig_, TH1D* bgr_, TString file_name){
  TH1D* data = (TH1D*) data_->Clone("data");
  TH1D* sig = (TH1D*) sig_->Clone("sig");
  TH1D* bgr = (TH1D*) bgr_->Clone("bgr");

  TCanvas *c= new TCanvas("c","",1200,600);
  gPad->SetLeftMargin(0.15);
  sig->Add(bgr, 1.);
  sig->SetTitle(" ");
  sig->GetYaxis()->SetRangeUser(0., 250);
  sig->GetXaxis()->SetTitle("detector binning");
  sig->GetYaxis()->SetTitle("events");
  sig->GetYaxis()->SetTitleOffset(1.5);
  sig->GetYaxis()->SetNdivisions(505);
  sig->SetFillColor(810);
  sig->SetLineColor(810);
  sig->Draw("HIST");
  bgr->SetFillColor(kGray);
  bgr->SetLineColor(kBlack);
  bgr->SetFillStyle(1001);
  bgr->Draw("HIST SAME");
  data->SetLineColor(kBlack);
  data->SetLineColor(kBlack);
  data->SetLineStyle(1);
  data->SetMarkerColor(kBlack);
  data->SetMarkerStyle(20);
  data->Draw("E SAME");
  TLegend *l=new TLegend(0.2,0.7,0.4,0.88);
  l->SetBorderSize(0);
  l->SetFillStyle(0);
  l->AddEntry(data,"Data","pl");
  l->AddEntry(sig,"t#bar{t}","f");
  l->AddEntry(bgr,"Background","f");
  l->Draw();
  gPad->RedrawAxis();
  c->SaveAs(directory + file_name + ".pdf");
  delete c;
}
Esempio n. 12
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TH1D *
GetITSTPCSpectrum(TFile *file, Int_t part, Int_t charge, Int_t cent)
{
  TList *list = (TList *)file->Get("output");
  TH1D *hin = (TH1D *)list->FindObject(Form("h_%s_%s_cen_%d", ITSTPCPartName[part], ITSTPCChargeName[charge], cent + 1));
  if (!hin) return NULL;

  TH1D *h = new TH1D(Form("hITSTPC_cent%d_%s_%s", cent, AliPID::ParticleName(part), chargeName[charge]), "ITSTPC", NptBins, ptBin);
  Double_t pt, width, value, error;
  Int_t bin;
  for (Int_t ipt = 0; ipt < NptBins; ipt++) {
    /* get input bin */
    pt = h->GetBinCenter(ipt + 1);
    width = h->GetBinWidth(ipt + 1);
    bin = hin->FindBin(pt);
    /* sanity check */
    if (TMath::Abs(hin->GetBinCenter(bin) - pt) > 0.001 ||
	TMath::Abs(hin->GetBinWidth(bin) - width) > 0.001)
      continue;
    /* copy bin */
    value = hin->GetBinContent(bin);
    error = hin->GetBinError(bin);
    h->SetBinContent(ipt + 1, value);
    h->SetBinError(ipt + 1, error);
  }
  
#if 0
  /* add systematic error */
  Double_t sys;
  if (part == 2) sys = 0.5;
  else sys = 0.1;
  Double_t cont, conte;
  for (Int_t ipt = 0; ipt < h->GetNbinsX(); ipt++) {
    cont = h->GetBinContent(ipt + 1);
    conte = h->GetBinError(ipt + 1);
    conte = TMath::Sqrt(conte * conte + sys * sys * cont * cont);
    h->SetBinError(ipt + 1, conte);
  }
#endif
  
  h->SetTitle("ITSTPC");
  h->SetLineWidth(1);
  h->SetLineColor(1);
  h->SetMarkerStyle(21);
  h->SetMarkerColor(2);
  h->SetFillStyle(0);
  h->SetFillColor(0);
  return h;
}
TCanvas* pMenu(std::string what)
{
  TCanvas* c = new TCanvas(("cMenu"+what).c_str(),("cMenu"+what).c_str(),1500,400); 
  c->SetBottomMargin(0.6);
  c->SetLeftMargin(0.04);
  c->SetRightMargin(0.01);
  TH1D* h = (TH1D*)gROOT->FindObject(("hMenuAlgos"+what).c_str());
  h->SetLineColor(4);
  h->SetFillColor(4);
  h->SetFillStyle(3003);
  h->LabelsOption("v");
  h->GetYaxis()->SetLabelOffset(0.005);
//  h->GetXaxis()->SetRange(550,680);
  h->DrawCopy();
  return c;
}
Esempio n. 14
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void plotter::draw_1D_hist(TH1D* hist_, TString file_name){
  TH1D* hist = (TH1D*) hist_->Clone("hist");
  TCanvas *c= new TCanvas("Particle Level","",600,600);
  gPad->SetLeftMargin(0.15);
  hist->SetTitle(" ");
  hist->GetXaxis()->SetTitle("Leading-jet mass [GeV]");
  hist->GetYaxis()->SetTitle("events");
  hist->GetYaxis()->SetTitleOffset(1.5);
  hist->GetYaxis()->SetNdivisions(505);
  hist->SetFillColor(810);
  hist->SetLineColor(810);
  hist->Draw("HIST");
  gPad->RedrawAxis();
  c->SaveAs(directory + file_name + ".pdf");
  delete c;
}
Esempio n. 15
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void CompareBranch(string MCfilename, string CDfilename, string MCbranchname, string CDbranchname, string xtitle, string unit, string plotname, string MCcuts, string CDcuts, string MCweight, string CDweight, double xlow, double xup, int nbins)
{
  TH1D*  MChist = MakeBranchPlot(MCfilename,MCbranchname,MCcuts,MCweight,xlow,xup,nbins);
  TH1D*  CDhist = MakeBranchPlot(CDfilename,CDbranchname,CDcuts,CDweight,xlow,xup,nbins);
  MChist->Scale(1./MChist->Integral());
  CDhist->Scale(1./CDhist->Integral());
  MChist->SetDrawOption("B");
  MChist->SetFillColor(kOrange);
  MChist->SetLineColor(kOrange);
  MChist->SetMaximum(MChist->GetMaximum()*1.3);
  MChist->SetMinimum(0);
  // Draw everything
  plotmaker plotter(MChist);
  plotter.SetTitle(xtitle, unit);
  TCanvas* plot = plotter.Draw();
  CDhist->Draw("sameE1");
  plot->SaveAs((plotname+".pdf").c_str());
}
Esempio n. 16
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void PlotErrors(TFile* data, TString Hist, TString Opt="")
{

    // Get the histograms from the files
    TH1D *Data = (TH1D*)data->Get(Hist);

    //check to make sure there are some events for log scale
    if(Data->Integral() == 0 ) c1->SetLogy(0);
    else  c1->SetLogy(1);

    // Fill for histogram
    Data->SetFillColor(kBlue);

    // plot them
    Data->DrawCopy("hist");

    gPad->RedrawAxis();

}
Esempio n. 17
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TH1D *HistoRatio (TH1D *hisNum, TH1D *hisDen){

  //Graph Ratio Clone
  TH1D *Ratio;
  Ratio = (TH1D*)hisNum->Clone();
  Ratio->Divide(hisDen);

  for(int ibin=1;ibin<=Ratio->GetNbinsX();ibin++) {
    if (Ratio->GetBinContent(ibin) == 0.0 ) {
      Ratio->SetBinContent(ibin, 1.0);
      Ratio->SetBinError(ibin, 0.0);
    }
  }

  Ratio->SetFillColor(0);
  Ratio->SetLineColor(kGray+2);
  // Ratio->SetLineColor(kMagenta-5);
  Ratio->SetLineWidth(1);
  Ratio->SetTitle("");
  
  Ratio->GetYaxis()->SetTitle("Obs/Exp");
  Ratio->GetYaxis()->CenterTitle();
  Ratio->GetYaxis()->SetTitleFont(42);
  Ratio->GetYaxis()->SetTitleSize(0.135);
  Ratio->GetYaxis()->SetTitleOffset(0.28);
  Ratio->GetYaxis()->SetLabelFont(42);
  Ratio->GetYaxis()->SetLabelSize(0.115);
  Ratio->GetYaxis()->SetNdivisions(402);
  
  Ratio->GetXaxis()->SetTitle("CSVv2 bin"); 
  Ratio->GetXaxis()->SetNdivisions(509); //(402)
  Ratio->GetXaxis()->SetTitleOffset(1.1);
  Ratio->GetXaxis()->SetTitleFont(42);
  Ratio->GetXaxis()->SetTitleSize(0.16);
  Ratio->GetXaxis()->SetTitleFont(42);
  Ratio->GetXaxis()->SetLabelSize(0.14);
  
  Ratio->SetMinimum(0.4);
  Ratio->SetMaximum(1.6);

  return Ratio;  

}
Esempio n. 18
0
//always data
TH1D* getQCD(TString Obj, TString Variable, int rebinFact){
	TString dir = "rootFilesV4/central/";
	TFile* file = new TFile(dir + "SingleMu_19584pb_PFElectron_PFMuon_PF2PATJets_PFMET.root");
	//TDirectoryFile* folder = (TDirectoryFile*) file->Get("TTbarPlusMetAnalysis/QCD No Iso/Muon/");

	TH1D* plot = (TH1D*) file->Get("TTbar_plus_X_analysis/MuPlusJets/QCD non iso mu+jets ge4j/"+Obj+Variable+"0btag");

	plot->SetFillColor(kYellow);
	plot->SetLineColor(kYellow);
    	
	plot->Scale(1/plot->Integral());
	plot->Rebin(rebinFact);

	plot->SetDirectory(gROOT);
	file->Close();

	return plot;

}
Esempio n. 19
0
TH1D *
GetTPCTOFSpectrum(TFile *file, Int_t part, Int_t charge, Int_t cent, Bool_t cutSpectrum = kTRUE)
{
  /* pt limits for combined spectra */
  Double_t ptMin[AliPID::kSPECIES] = {0., 0., 0., 0., 0.};
  Double_t ptMax[AliPID::kSPECIES] = {0., 0., 1.2, 1.2, 1.8};

  TH1D *hin = (TH1D *)file->Get(Form("%sFinal%s%d", TPCTOFPartName[part], TPCTOFChargeName[charge], cent));
  if (!hin) return NULL;

  TH1D *h = new TH1D(Form("hTPCTOF_cent%d_%s_%s", cent, AliPID::ParticleName(part), chargeName[charge]), "TPCTOF", NptBins, ptBin);
  Double_t pt, width, value, error;
  Int_t bin;
  for (Int_t ipt = 0; ipt < NptBins; ipt++) {
    /* get input bin */
    pt = h->GetBinCenter(ipt + 1);
    width = h->GetBinWidth(ipt + 1);
    bin = hin->FindBin(pt);
    /* sanity check */
    if (TMath::Abs(hin->GetBinCenter(bin) - pt) > 0.001 ||
	TMath::Abs(hin->GetBinWidth(bin) - width) > 0.001)
      continue;
    /* check pt limits */
    if (cutSpectrum && (pt < ptMin[part] || pt > ptMax[part])) continue;
    /* copy bin */
    value = hin->GetBinContent(bin);
    error = hin->GetBinError(bin);
    h->SetBinContent(ipt + 1, value);
    h->SetBinError(ipt + 1, error);
  }
  
  h->SetTitle("TPCTOF");
  h->SetLineWidth(1);
  h->SetLineColor(1);
  h->SetMarkerStyle(22);
  h->SetMarkerColor(8);
  h->SetFillStyle(0);
  h->SetFillColor(0);
  
  return h;
}
Esempio n. 20
0
void plotter::draw_smearFit(TH1D* variation, TF1* fit_, TString file_name){
  TH1D* var = (TH1D*) variation->Clone();
  TF1* fit = (TF1*) fit_->Clone();
  TCanvas *c= new TCanvas("","",600,600);
  gPad->SetLeftMargin(0.15);
  double ymax = var->GetMaximum() * 1.5;
  var->GetYaxis()->SetRangeUser(0., ymax);
  var->GetXaxis()->SetTitle("bin content");
  var->GetYaxis()->SetTitle("events");
  var->GetYaxis()->SetTitleOffset(1.5);
  var->GetYaxis()->SetNdivisions(505);
  var->SetFillColor(kGray);
  var->SetLineColor(kBlack);
  var->Draw("HIST");
  fit->SetLineColor(kRed);
  fit->SetLineWidth(4);
  fit->Draw("SAME");
  gPad->RedrawAxis();
  c->SaveAs(directory + file_name + ".pdf");
  delete c;
}
Esempio n. 21
0
void makePlotWithSelection(TTree* tr, TString varToPlot, TString canvName, TString xAxisName, TCut cutLoose, TCut cutAdditional)
{

  TTree* trCutted = tr->CopyTree(cutLoose);
  TH1D* histLoose = new TH1D("hist",varToPlot,50,trCutted->GetMinimum(varToPlot)-0.1*fabs(trCutted->GetMinimum(varToPlot)),trCutted->GetMaximum(varToPlot)+0.1*fabs(trCutted->GetMaximum(varToPlot)));
  trCutted->Draw(varToPlot+TString(">>hist"),"1","goff");
  TCanvas* canv = new TCanvas(canvName,canvName);
  //TAxis* xAxis = histLoose->GetXaxis();
  histLoose->GetXaxis()->SetTitle(xAxisName);
  histLoose->GetYaxis()->SetRangeUser(0,histLoose->GetMaximumStored());
  histLoose->SetFillStyle(3004);
  histLoose->SetFillColor(2);
  histLoose->Draw();
  trCutted->SetFillStyle(1001);
  trCutted->SetFillColor(3);
  trCutted->Draw(varToPlot,cutAdditional,"same");
  canv->SaveAs(canvName+".png");
  delete histLoose;
  histLoose=0;
  trCutted=0;
  //xAxis=0;
}
Esempio n. 22
0
void plot(TString var, TString varlatex, TString varname, Int_t nbins, Double_t vmin, Double_t vmax)
{
  cout<<"---- Processing - "<<var<<endl;
  cout<<"  -- Fill histograms"<<endl;
  TFile* ifBkg = new TFile(infnameBkg[isChannel]);
  TTree* ntBkg = (TTree*)ifBkg->Get(texNtuple[isChannel]);
  ntBkg->AddFriend("ntHlt");
  TFile* ifSgl = new TFile(infnameSgl[isChannel]);
  TTree* ntSgl = (TTree*)ifSgl->Get(texNtuple[isChannel]);
  ntSgl->AddFriend("ntHlt");
  ntSgl->AddFriend("ntHi");

  TH1D* hBkg = new TH1D(Form("hBkg_%s",varname.Data()),"",nbins,vmin,vmax);
  TH1D* hSgl = new TH1D(Form("hSgl_%s",varname.Data()),"",nbins,vmin,vmax);

  ntBkg->Project(Form("hBkg_%s",varname.Data()),var,Form("%s&&%s",selTriggerBkg[isChannel].Data(),selBkg[isChannel].Data()));
  ntSgl->Project(Form("hSgl_%s",varname.Data()),var,TCut(weight[isChannel])*Form("%s&&%s",selTriggerSgl[isChannel].Data(),selSgl[isChannel].Data()));

  cout<<"  -- Calculate normalization"<<endl;
  Double_t normBkg=0,normSgl=0;
  //normBkg = hBkg->GetEntries();
  //normSgl = hSgl->GetEntries();
  normBkg = hBkg->Integral(vmin,vmax);
  normSgl = hSgl->Integral(vmin,vmax);
  cout<<"     normBkg: "<<normBkg<<" ;   normSgl: "<<normSgl<<endl;

  cout<<"  -- Normalize histograms"<<endl;
  hBkg->Scale(1./normBkg);
  hSgl->Scale(1./normSgl); 

  cout<<"  -- Plot"<<endl;
  hBkg->SetXTitle(varlatex);
  hBkg->SetYTitle("#Probability");
  hBkg->SetTitleOffset(1.5,"Y");
  Double_t hisMax = (hBkg->GetMaximum()>hSgl->GetMaximum())?hBkg->GetMaximum():hSgl->GetMaximum();
  hBkg->SetMaximum(hisMax*1.2);

  hBkg->SetLineColor(kBlue+1);
  hBkg->SetFillStyle(1001);
  hBkg->SetFillColor(kBlue-9);
  hBkg->SetLineWidth(3);
  hBkg->SetStats(0);

  TH1D* hSglplot = new TH1D(Form("hSglplot_%s",varname.Data()),"",nbins,vmin,vmax);
  for(int ib=0;ib<nbins;ib++) hSglplot->SetBinContent(ib+1,hSgl->GetBinContent(ib+1));
  hSglplot->SetLineColor(kRed);
  hSglplot->SetFillStyle(3004);
  hSglplot->SetFillColor(kRed);
  hSglplot->SetLineWidth(3);
  hSglplot->SetStats(0);

  TCanvas* c = new TCanvas(Form("c_%s",varname.Data()),"",600,600);
  hBkg->Draw();
  hSglplot->Draw("same");

  cout<<"  -- Plot legends"<<endl;
  TLatex* tex = new TLatex(0.18,0.935,Form("5.02TeV %s",texPP[isChannel].Data()));
  tex->SetNDC();
  tex->SetTextFont(42);
  tex->SetTextSize(0.055);
  tex->Draw();
  TLatex* texp;
  texp = new TLatex(0.68,0.935,texDecay[isChannel]);
  texp->SetNDC();
  texp->SetTextFont(42);
  texp->SetTextSize(0.055);
  texp->Draw();
  TLegend* leg = new TLegend(0.56,0.70,0.86,0.86);
  leg->AddEntry(hBkg,"Background","f");
  leg->AddEntry(hSglplot,"Signal","f");
  leg->SetBorderSize(0);
  leg->SetFillStyle(0);
  leg->Draw("same");

  cout<<"  -- Save plots"<<endl;
  c->SaveAs(Form("plots/%s_%s/c_%s.pdf",texPP[isChannel].Data(),texNtuple[isChannel].Data(),varname.Data()));
  cout<<endl;
}
Esempio n. 23
0
void draw_from_trees(TString var, TCut other_cuts,
		     TString weights, TString title, int nbinsx, 
		     double xlow, double xup,
		     TString options="plotSig:plotLog:plotData",
		     double cut_low=-1, double cut_high=-1,
		     TString plot_title="default")
{

  bool plotSig = options.Contains("plotSig") && (!options.Contains("!plotSig"));
  bool plotLog = options.Contains("plotLog") && (!options.Contains("!plotLog"));
  bool plotData = options.Contains("plotData") && (!options.Contains("!plotData"));
  bool sigStack = options.Contains("sigStack") && (!options.Contains("!sigStack"));

  // Book histograms
  TH1D * httbar = new TH1D("ttbar" , title, nbinsx, xlow, xup);
  TH1D * hqcd = new TH1D("qcd" , title, nbinsx, xlow, xup);
  TH1D * hznn = new TH1D("znn" , title, nbinsx, xlow, xup);
  TH1D * hwjets = new TH1D("wjets" , title, nbinsx, xlow, xup);
  TH1D * hother = new TH1D("other" , title, nbinsx, xlow, xup);
  TH1D * hmc_exp = new TH1D("mc_exp" , title, nbinsx, xlow, xup);
  TH1D * hsingle_top = new TH1D("single_top" , title, nbinsx, xlow, xup);  
  TH1D * ht1bbbb_1500_100 = new TH1D("t1bbbb_1500_100" , title, nbinsx, xlow, xup);
  TH1D * ht1bbbb_1000_900 = new TH1D("t1bbbb_1000_900" , title, nbinsx, xlow, xup);
  TH1D * ht1tttt_1500_100 = new TH1D("t1tttt_1500_100" , title, nbinsx, xlow, xup);
  TH1D * ht1tttt_1200_800 = new TH1D("t1tttt_1200_800" , title, nbinsx, xlow, xup);
  TH1D * ht1qqqq_1400_100 = new TH1D("t1qqqq_1400_100" , title, nbinsx, xlow, xup);
  TH1D * ht1qqqq_1000_800 = new TH1D("t1qqqq_1000_800" , title, nbinsx, xlow, xup);

  // Format cuts
  TCut cut(other_cuts);

  // TCut ttbar_weight("(weightppb*4000)/top_pt_weight_official");

  TCut ttbar_weight("(3.17760399999999981e-05*4000)");

  cout << "Filling histograms for " << var.Data() << endl;
  ttbar_ch->Project("ttbar",var,(cut)*ttbar_weight);
  qcd_ch->Project("qcd",var,cut*weights);
  znn_ch->Project("znn",var,cut*weights);
  wjets_ch->Project("wjets",var,(cut)*weights);
  other_ch->Project("other",var,cut*weights);
  single_top_ch->Project("single_top",var,cut*weights);
  t1bbbb_1500_100_ch->Project("t1bbbb_1500_100",var,(cut)*weights);
  t1bbbb_1000_900_ch->Project("t1bbbb_1000_900",var,(cut)*weights);
  t1tttt_1500_100_ch->Project("t1tttt_1500_100",var,(cut)*weights);
  t1tttt_1200_800_ch->Project("t1tttt_1200_800",var,(cut)*weights);
  t1qqqq_1400_100_ch->Project("t1qqqq_1400_100",var,(cut)*weights);
  t1qqqq_1000_800_ch->Project("t1qqqq_1000_800",var,(cut)*weights);


  bool addOverflow(true);
  Double_t e_overflow(0.), i_overflow(0.);
  if (addOverflow) {
    i_overflow=httbar->IntegralAndError(nbinsx,nbinsx+1,e_overflow);
    httbar->SetBinContent(nbinsx, i_overflow);
    httbar->SetBinError(nbinsx, e_overflow);
    i_overflow=hqcd->IntegralAndError(nbinsx,nbinsx+1,e_overflow);
    hqcd->SetBinContent(nbinsx, i_overflow);
    hqcd->SetBinError(nbinsx, e_overflow);
    i_overflow=hznn->IntegralAndError(nbinsx,nbinsx+1,e_overflow);
    hznn->SetBinContent(nbinsx, i_overflow);
    hznn->SetBinError(nbinsx, e_overflow);
    i_overflow=hwjets->IntegralAndError(nbinsx,nbinsx+1,e_overflow);
    hwjets->SetBinContent(nbinsx, i_overflow);
    hwjets->SetBinError(nbinsx, e_overflow);
    i_overflow=hsingle_top->IntegralAndError(nbinsx,nbinsx+1,e_overflow);
    hsingle_top->SetBinContent(nbinsx, i_overflow);
    hsingle_top->SetBinError(nbinsx, e_overflow);
    i_overflow=hother->IntegralAndError(nbinsx,nbinsx+1,e_overflow);
    hother->SetBinContent(nbinsx, i_overflow);
    hother->SetBinError(nbinsx, e_overflow);
    i_overflow=ht1bbbb_1500_100->IntegralAndError(nbinsx,nbinsx+1,e_overflow);
    ht1bbbb_1500_100->SetBinContent(nbinsx, i_overflow);
    ht1bbbb_1500_100->SetBinError(nbinsx, e_overflow);
    i_overflow=ht1bbbb_1000_900->IntegralAndError(nbinsx,nbinsx+1,e_overflow);
    ht1bbbb_1000_900->SetBinContent(nbinsx, i_overflow);
    ht1bbbb_1000_900->SetBinError(nbinsx, e_overflow);
    i_overflow=ht1tttt_1500_100->IntegralAndError(nbinsx,nbinsx+1,e_overflow);
    ht1tttt_1500_100->SetBinContent(nbinsx, i_overflow);
    ht1tttt_1500_100->SetBinError(nbinsx, e_overflow);
    i_overflow=ht1tttt_1200_800->IntegralAndError(nbinsx,nbinsx+1,e_overflow);
    ht1tttt_1200_800->SetBinContent(nbinsx, i_overflow);
    ht1tttt_1200_800->SetBinError(nbinsx, e_overflow);
    i_overflow=ht1qqqq_1400_100->IntegralAndError(nbinsx,nbinsx+1,e_overflow);
    ht1qqqq_1400_100->SetBinContent(nbinsx, i_overflow);
    ht1qqqq_1400_100->SetBinError(nbinsx, e_overflow);
    i_overflow=ht1qqqq_1000_800->IntegralAndError(nbinsx,nbinsx+1,e_overflow);
    ht1qqqq_1000_800->SetBinContent(nbinsx, i_overflow);
    ht1qqqq_1000_800->SetBinError(nbinsx, e_overflow);
  }

  
  // Add up MC histograms
  hmc_exp->Add(httbar);
  hmc_exp->Add(hqcd);
  hmc_exp->Add(hznn);
  hmc_exp->Add(hwjets);
  hmc_exp->Add(hsingle_top);
  hmc_exp->Add(hother);


  double binwidth = (xup - xlow) / nbinsx;
  TString ytitle = Form("Events / %.3f", binwidth);
  hmc_exp->GetXaxis()->SetTitle(httbar->GetXaxis()->GetTitle());
  hmc_exp->GetYaxis()->SetTitle(ytitle);
  cout << "... DONE: add all backgrounds to mc_exp." << endl;
  
  Double_t ttbar_e(0.), qcd_e(0.), znn_e(0.), wjets_e(0.), other_e(0.), single_top_e(0.), bg_tot_e(0.), t1tttt_1500_100_e(0.);
  double ttbar_n(httbar->IntegralAndError(0,nbinsx+1, ttbar_e));
  double qcd_n(hqcd->IntegralAndError(0,nbinsx+1, qcd_e));
  double znn_n(hznn->IntegralAndError(0,nbinsx+1, znn_e));
  double wjets_n(hwjets->IntegralAndError(0,nbinsx+1, wjets_e));
  double other_n(hother->IntegralAndError(0,nbinsx+1, other_e));
  double single_top_n(hsingle_top->IntegralAndError(0,nbinsx+1, single_top_e));
  double bg_tot(hmc_exp->IntegralAndError(0,nbinsx+1, bg_tot_e));
  double t1tttt_1500_100_n(ht1tttt_1500_100->IntegralAndError(0,nbinsx+1, t1tttt_1500_100_e));


  printf("Counts before cut: %s\n",var.Data());
  printf("&ttbar&qcd&znn&wjets&single top&other&t1bbbb_1500_100\\\\ \n");
  printf("%s & %3.2f+-%3.2f & %3.2f+-%3.2f & %3.2f+-%3.2f & %3.2f+-%3.2f & %3.2f+-%3.2f & %3.2f+-%3.2f & %3.2f+-%3.2f & %3.2f+-%3.2f \\\\\n",
	 var.Data(),
	 ttbar_n,ttbar_e,
	 qcd_n,qcd_e,
	 znn_n,znn_e,
	 wjets_n,wjets_e,
	 single_top_n,single_top_e,
	 other_n,other_e,
	 //	 hmc_exp->GetBinContent(1), hmc_exp->GetBinError(1),
	 bg_tot,bg_tot_e,
	 t1tttt_1500_100_n,t1tttt_1500_100_e);


  cout << "... DONE: filled histograms." << endl;
 
  if (sigStack) {
    for (int bin(0); bin<nbinsx; bin++) {
      ht1bbbb_1500_100->SetBinContent(bin+1, hmc_exp->GetBinContent(bin+1));
      ht1bbbb_1000_900->SetBinContent(bin+1, hmc_exp->GetBinContent(bin+1));
      ht1tttt_1500_100->SetBinContent(bin+1, hmc_exp->GetBinContent(bin+1));
      ht1tttt_1200_800->SetBinContent(bin+1, hmc_exp->GetBinContent(bin+1));
    }
  }
 
  THStack * hs = new THStack("hs", "");
  hs->Add(hother); 
  hs->Add(hsingle_top);
  hs->Add(hwjets);
  hs->Add(hznn);
  if (httbar->Integral()>hqcd->Integral()) {
    hs->Add(hqcd);
    hs->Add(httbar);
  } else {
    hs->Add(httbar);
    hs->Add(hqcd);
  }


  //hs->GetYaxis()->SetTitle("Events / 5 fb^{-1}");
  //hs->GetXaxis()->SetTitle(httbar->GetXaxis()->GetTitle());

  // Setup histogram styles
  set_style(httbar, "ttbar");
  set_style(hqcd, "qcd");
  set_style(hznn, "znn");
  set_style(hwjets, "wjets");
  set_style(hother, "other");
  set_style(hsingle_top, "single_top");

  // Setup auxiliary histograms (ratios, errors, etc)
  TH1D * staterr = (TH1D *) hmc_exp->Clone("staterr");
  staterr->Sumw2();
  //staterr->SetFillColor(kRed);
  staterr->SetFillColor(kGray+3);
  staterr->SetMarkerSize(0);
  staterr->SetFillStyle(3013);

 
  // Setup legends
  TLegend * leg1 = new TLegend(0.48, 0.6, 0.72, 0.92);
  set_style(leg1,0.025);
  if (plotData) leg1->AddEntry(hsingle_top, "Data", "pel");
  if (plotSig) {
    leg1->AddEntry(ht1bbbb_1500_100, "#splitline{T1bbbb}{(1500,100) GeV}", "l");
    leg1->AddEntry(ht1bbbb_1000_900, "#splitline{T1bbbb}{(1000,900) GeV}", "l");
    leg1->AddEntry(ht1tttt_1500_100, "#splitline{T1tttt}{(1500,100) GeV}", "l");
    leg1->AddEntry(ht1tttt_1200_800, "#splitline{T1tttt}{(1200,800) GeV}", "l");
    leg1->AddEntry(ht1qqqq_1400_100, "#splitline{T1qqqq}{(1400,100) GeV}", "l");
    leg1->AddEntry(ht1qqqq_1000_800, "#splitline{T1qqqq}{(1000,800) GeV}", "l");
  }
 

  TLegend * leg2 = new TLegend(0.72, 0.6, 0.94, 0.92);
  set_style(leg2,0.025);
  if (httbar->Integral()>hqcd->Integral()) {
    leg2->AddEntry(httbar, "t#bar{t}", "f");
    leg2->AddEntry(hqcd, "QCD", "f");
  } else {
    leg2->AddEntry(hqcd, "QCD", "f");
    leg2->AddEntry(httbar, "t#bar{t}", "f");
  }
  leg2->AddEntry(hznn, "Z+jets", "f");
  leg2->AddEntry(hwjets, "W+jets", "f");
  leg2->AddEntry(hsingle_top, "Single Top", "f");
  leg2->AddEntry(hother, "Other", "f");
  leg2->AddEntry(staterr, "MC uncert.", "f");
    
  double ymax = hs->GetMaximum();
  if (ht1tttt_1500_100->GetMaximum()>ymax) ymax=ht1tttt_1500_100->GetMaximum();
  if (ht1bbbb_1500_100->GetMaximum()>ymax) ymax=ht1bbbb_1500_100->GetMaximum();
  if (ht1qqqq_1400_100->GetMaximum()>ymax) ymax=ht1qqqq_1400_100->GetMaximum();


  if(plotLog) {
    hs->SetMaximum(200*ymax);
    hs->SetMinimum(0.1);
  }
  else {
    hs->SetMaximum(2*ymax);
    if (plot_title.Contains("baseline")) hs->SetMaximum(1.3*ymax);
  }
  // Vertical lines for cuts
  TLine* line_low = new TLine(cut_low,0,cut_low,1.5*ymax);
  TLine* line_high = new TLine(cut_high,0,cut_high,1.5*ymax);
  set_style(line_low);
  set_style(line_high);

  // Setup canvas and pads  
  TCanvas * c1 = new TCanvas("c1", "c1", 700, 700);
  TPad * pad1 = new TPad("pad1", "top pad" , 0.0, 0.3, 1.0, 1.0);
  TPad * pad2 = new TPad("pad2", "bottom pad", 0.0, 0.0, 1.0, 0.3);
  if(plotData) {
    pad1->SetBottomMargin(0.0);
    pad1->Draw();
    pad2->SetTopMargin(0.0);
    pad2->SetBottomMargin(0.35);
    pad2->Draw();
    pad1->cd();
    pad1->SetLogy(plotLog);
  }
  else {
    c1->cd();
    c1->SetLogy(plotLog);
  }
  // Draw hists
  hs->Draw("hist");
  hs->SetTitle(hmc_exp->GetTitle());
  hs->GetXaxis()->SetTitle(httbar->GetXaxis()->GetTitle());
  hs->GetYaxis()->SetTitle(ytitle);
  hs->GetXaxis()->SetLabelSize(0.03);
  hs->GetYaxis()->SetLabelSize(0.03);
  if (plotData) 
    {
      //  hsingle_top->Draw("e1 same");
      hs->GetXaxis()->SetLabelSize(0);
    }
  staterr->Draw("e2 same");
  if (plotSig) {
    ht1bbbb_1500_100->SetLineColor(2);
    ht1bbbb_1500_100->SetLineWidth(4);
    ht1bbbb_1500_100->SetFillColor(0);
    ht1bbbb_1000_900->SetLineColor(2);
    ht1bbbb_1000_900->SetLineWidth(4);
    ht1bbbb_1000_900->SetLineStyle(7);
    ht1bbbb_1000_900->SetFillColor(0);
    ht1tttt_1500_100->SetLineColor(kGreen);
    ht1tttt_1500_100->SetLineWidth(4);
    ht1tttt_1500_100->SetFillColor(0);
    ht1tttt_1200_800->SetLineColor(kGreen);
    ht1tttt_1200_800->SetLineStyle(7);
    ht1tttt_1200_800->SetLineWidth(4);
    ht1tttt_1200_800->SetFillColor(0);
    ht1qqqq_1400_100->SetLineColor(1006);
    ht1qqqq_1400_100->SetLineWidth(4);
    ht1qqqq_1400_100->SetFillColor(0);
    ht1qqqq_1000_800->SetLineColor(1006);
    ht1qqqq_1000_800->SetLineWidth(4);
    ht1qqqq_1000_800->SetLineStyle(7);
    ht1qqqq_1000_800->SetFillColor(0);
    ht1bbbb_1500_100->Draw("hist same");
    ht1bbbb_1000_900->Draw("hist same");
    ht1tttt_1500_100->Draw("hist same");
    ht1tttt_1200_800->Draw("hist same");
    ht1qqqq_1400_100->Draw("hist same");
    ht1qqqq_1000_800->Draw("hist same");
  }
  if (cut_low>0) line_low->Draw("same");
  if (cut_high>0) line_high->Draw("same");


  // Draw legends
  leg1->Draw();
  leg2->Draw();
  TLatex * latex = new TLatex();
  latex->SetNDC();
  latex->SetTextAlign(12);
  latex->SetTextFont(62);
  latex->SetTextSize(0.042);
  latex->DrawLatex(0.19, 0.89, "CMS Simulation");
  latex->SetTextSize(0.03);
  latex->DrawLatex(0.19, 0.84, "#sqrt{s} = 13 TeV, L = 4 fb^{-1}");
  
  // Print
  cout << "MakePlots(): Printing..." << endl;

  c1->cd();
  if (plot_title.EqualTo("default")) plot_title=plotdir+var;
  gPad->Print(plotdir+plot_title+".pdf");


  // Clean up
  delete staterr;
  delete leg1;
  delete leg2;
  delete latex;
  // delete pave;
  delete hs;
  delete pad1;
  delete pad2;
  delete c1;

  delete httbar;
  delete hqcd;
  delete hznn;
  delete hwjets;
  delete hsingle_top;
  delete hother;
  delete hmc_exp;

  delete ht1bbbb_1500_100;
  delete ht1bbbb_1000_900;
  delete ht1tttt_1500_100;
  delete ht1tttt_1200_800;
  delete ht1qqqq_1400_100;
  delete ht1qqqq_1000_800;

  cout << "MakePlots(): DONE!" << endl;

  return;
}
Esempio n. 24
0
void plot_stuff(){
  
  gStyle->SetOptStat(0);
  gStyle->SetOptTitle(0);
  
  gROOT->ForceStyle();
  TFile *in = TFile::Open("IncLusive_Plots_vmd.root");
  
  TH1D *hIVEpEmGam = (TH1D*)in->Get("hIVEpEmGam");
  TH1D *hIVEpEmGam_cut = (TH1D*)in->Get("hIVEpEmGam_cut");
  
  hIVEpEmGam->SetLineColor(kBlack);
  hIVEpEmGam->SetStats(false);
  hIVEpEmGam_cut->SetStats(false);
  hIVEpEmGam->GetXaxis()->SetTitle("M(e^{+}e^{-}#gamma) [GeV]");
  hIVEpEmGam->GetXaxis()->SetTitleSize(0.05);
  hIVEpEmGam->GetXaxis()->SetTitleOffset(0.8);
  hIVEpEmGam->GetYaxis()->SetTitle("Counts / 35.5 MeV");
  hIVEpEmGam->GetYaxis()->SetTitleSize(0.05);
  hIVEpEmGam->GetYaxis()->SetTitleOffset(1.0);
  
  hIVEpEmGam->SetLineWidth(2);
  
  hIVEpEmGam_cut->SetLineColor(kRed);
  hIVEpEmGam_cut->SetFillColor(kRed);
  hIVEpEmGam_cut->SetFillStyle(3001);
  
  TH1D *hMMPEmX = (TH1D*)in->Get("hMMPEmX");
  TH1D *hMMPEmX_cut = (TH1D*)in->Get("hMMPEmX_cut");
  
  hMMPEmX->SetLineColor(kBlack);
  hMMPEmX->SetLineWidth(2);
  
  hMMPEmX->GetXaxis()->SetTitle("M_{x}(pe^{-}) [GeV]");
  hMMPEmX->SetStats(false);
  hMMPEmX_cut->SetStats(false);
  hMMPEmX->GetXaxis()->SetTitleSize(0.05);
  hMMPEmX->GetXaxis()->SetTitleOffset(0.8);
  hMMPEmX->GetYaxis()->SetTitle("Counts / 35.5 MeV");
  hMMPEmX->GetYaxis()->SetTitleSize(0.05);
  hMMPEmX->GetYaxis()->SetTitleOffset(1.0);
  
  hMMPEmX_cut->SetLineColor(kRed);
  hMMPEmX_cut->SetFillColor(kRed);
  hMMPEmX_cut->SetFillStyle(3001);
  
  
  
  TH1D *IVrest = (TH1D*)hIVEpEmGam->Clone();
  int critIVbin = IVrest->GetXaxis()->FindFixBin(1.5);
  
  TH1D *MMrest = (TH1D*)hMMPEmX->Clone();
  int critMMbin = MMrest->GetXaxis()->FindFixBin(1.2);
  
  for(int i=1;i<= IVrest->GetNbinsX();i++){
    if(i<critIVbin){
      IVrest->SetBinContent(i,0);
    }
  }
  IVrest->SetFillStyle(3001);
  IVrest->SetFillColor(8);
  IVrest->SetLineColor(8);
  
  
  for(int i=1;i<= MMrest->GetNbinsX();i++){
    if(i>critMMbin){
      MMrest->SetBinContent(i,0);
    }
  }
    MMrest->SetFillStyle(3001);
    MMrest->SetFillColor(8);
    MMrest->SetLineColor(8);
    
    TLegend *leg1 = new TLegend(0.25,0.7,0.9,0.9);
    leg1->SetFillColor(0);
    leg1->AddEntry(IVrest,"Select e^{-}' from e^{-}p#rightarrow e^{-}'pX");
    leg1->AddEntry(hIVEpEmGam_cut,"Select e^{-} from #eta'#rightarrow e^{+}e^{-}#gamma");
    
    TLegend *leg2 = new TLegend(0.25,0.7,0.9,0.9);
    leg2->SetFillColor(0);
    leg2->AddEntry(MMrest,"Select e^{-}' from e^{-}p#rightarrow e^{-}'pX");
    leg2->AddEntry(hMMPEmX_cut,"Select e^{-} from #eta'#rightarrow e^{+}e^{-}#gamma");
    
    TCanvas *c = new TCanvas("c","",1200,500);
    c->Divide(2);
    c->cd(1);
    
  //IVrest->Draw();
  hIVEpEmGam->Draw();

    fitMKVoight(hIVEpEmGam, 0.6, 2.1, 0, 0, 0, 0, 0.957, 0.01, 0.001, 2.5, 1);
  

  
    hIVEpEmGam_cut->Draw("same");
    //hIVEpEmGam->Draw("same");
    IVrest->Draw("same");
    leg1->Draw("same");
    c->cd(2);
    
    MMrest->Draw();
    fitMKVoight(hMMPEmX, 0.6, 2.1, 0, 0, 0, 0, 0.957, 0.01, 0.001, 2.5, 1);
    
    hMMPEmX_cut->Draw("same");
    hMMPEmX->Draw("same");
    leg2->Draw("same");
    c->cd();
    
    TH1D *hIVEpEm = (TH1D*)in->Get("hIVEpEm");
    TH1D *hIVEpEm_cut = (TH1D*)in->Get("hIVEpEm_cut");
    TH1D *hEpEm_contam = (TH1D*)in->Get("hEpEm_contam");
    
    
    hIVEpEm->GetXaxis()->SetTitle("M(e^{+}e^{-}) [GeV]");
    hIVEpEm->GetXaxis()->SetTitleSize(0.05);
    hIVEpEm->GetXaxis()->SetTitleOffset(0.8);
    
    hIVEpEm->GetYaxis()->SetTitle("Counts / 40 MeV");
    hIVEpEm->GetYaxis()->SetTitleSize(0.05);
    hIVEpEm->GetYaxis()->SetTitleOffset(0.8);
    
    hIVEpEm->SetLineColor(kBlack);
    hIVEpEm->SetLineWidth(2);
    
    
    hIVEpEm_cut->SetLineColor(kRed);
    hIVEpEm_cut->SetFillColor(kRed);
    hIVEpEm_cut->SetFillStyle(3001);
    
    
    hEpEm_contam->SetLineColor(8);
    hEpEm_contam->SetFillColor(8);
    hEpEm_contam->SetFillStyle(3001);
    
    TLegend *leg3 = new TLegend(0.6,0.6,0.9,0.9);
    leg3->SetFillColor(0);
    leg3->AddEntry(hIVEpEm_cut,"Select e^{-} from #eta'#rightarrowe^{+}e^{-}#gamma");
    leg3->AddEntry(hEpEm_contam,"Select e^{-}' from e^{-}p#rightarrow e^{-}'pX");
    
    TCanvas *c2 = new TCanvas("c2","",1);
    hIVEpEm->Draw();
    hIVEpEm_cut->Rebin(4);
    hIVEpEm_cut->Draw("same");
    hEpEm_contam->Rebin(4);
    hEpEm_contam->Draw("same");
    hIVEpEm->Draw("same");
    leg3->Draw("same");
    c2->SetLogy();
    
    
    TH1D *hEmP = (TH1D*)in->Get("hEmP");
    TH1D *hEmP_cut = (TH1D*)in->Get("hEmP_cut");
    
    hEmP->GetXaxis()->SetTitle("Momentum of e^{-} [GeV/c]");
    hEmP->GetXaxis()->SetTitleSize(0.05);
    hEmP->GetXaxis()->SetTitleOffset(0.8);
    
    hEmP->GetYaxis()->SetTitle("Counts / 110 MeV");
    hEmP->GetYaxis()->SetTitleSize(0.05);
    hEmP->GetYaxis()->SetTitleOffset(0.8);
    
    hEmP->SetLineColor(kBlack);
    hEmP->SetLineWidth(2);
    
    hEmP_cut->SetLineColor(kRed);
    hEmP_cut->SetFillColor(kRed);
    hEmP_cut->SetFillStyle(3001);
    
    TLegend *leg4 = new TLegend(0.6,0.6,0.9,0.9);
    leg4->SetFillStyle(0);
    leg4->AddEntry(hEmP_cut,"Select e^{-} from #eta'#rightarrow e^{+}e^{-}#gamma");
    
    TCanvas *c3 = new TCanvas("c3","",1);
    hEmP->Draw();
    hEmP_cut->Draw("same");
    leg4->Draw("same");
    c3->cd();
    
    
    

  
  
  
  
  //MK stuff
  
  /*
   TCanvas *cmkII =  new TCanvas("cmkII","cmkII",1200,500);
   //cmkII->Divide(1,2);
   cmkII->cd();
   cmkII->SetLogy();
   TH1D *hIVEpEm_cut_clone = (TH1D*)in->Get("hIVEpEm_cut_clone");
   hIVEpEm_cut_clone->SetLineColor(kRed);
   hIVEpEm_cut_clone->SetYTitle("Expected Counts / 10 MeV");
   hIVEpEm_cut_clone->GetYaxis()->SetTitleSize(0.05);
   hIVEpEm_cut_clone->GetYaxis()->SetTitleOffset(0.8);
   hIVEpEm_cut_clone->GetXaxis()->SetTitle("M(e^{+}e^{-}) [GeV]");
   hIVEpEm_cut_clone->GetXaxis()->SetTitleSize(0.05);
   hIVEpEm_cut_clone->GetXaxis()->SetTitleOffset(0.8);
   TH1D *hEpEm_corrected = (TH1D*)in->Get("hEpEm_corrected");
   hEpEm_corrected->SetYTitle("Counts / 10 MeV");
   hEpEm_corrected->GetYaxis()->SetTitleSize(0.05);
   hEpEm_corrected->GetYaxis()->SetTitleOffset(0.8);
   hEpEm_corrected->GetXaxis()->SetTitle("M(e^{+}e^{-}) [GeV]");
   hEpEm_corrected->GetXaxis()->SetTitleSize(0.05);
   hEpEm_corrected->Draw("EP");
   hIVEpEm_cut_clone->Draw("EP same");
   
   TLegend *legmkII = new TLegend(0.45,0.7,0.9,0.9);
   legmkII->SetTextSize(0.05);
   legmkII->SetFillColor(0);
   legmkII->AddEntry(hIVEpEm_cut_clone,"Expected counts in 80 days","l");
   
   legmkII->AddEntry(hEpEm_corrected,"Accepted corrected counts in 80 days","l");
   legmkII->Draw("same");
   
   
   TCanvas *cmkIII =  new TCanvas("cmkIII","cmkIII",1200,500);
   cmkIII->cd();
   TH1D *hEpEm_acceptance = (TH1D*)in->Get("hEpEm_acceptance");
   hEpEm_acceptance->SetLineColor(kRed);
   hEpEm_acceptance->SetYTitle("Acceptance / 10 MeV");
   hEpEm_acceptance->GetYaxis()->SetTitleSize(0.05);
   hEpEm_acceptance->GetYaxis()->SetTitleOffset(0.8);
   hEpEm_acceptance->GetXaxis()->SetTitle("M(e^{+}e^{-}) [GeV]");
   hEpEm_acceptance->GetXaxis()->SetTitleSize(0.05);
   hEpEm_acceptance->GetXaxis()->SetTitleOffset(0.8);
   TH1D *hEpEm_acceptance_flat = (TH1D*)inflat->Get("hEpEm_acceptance");
   hEpEm_acceptance_flat->SetYTitle("Acceptance / 10 MeV");
   hEpEm_acceptance_flat->GetYaxis()->SetTitleSize(0.05);
   hEpEm_acceptance_flat->GetYaxis()->SetTitleOffset(0.8);
   hEpEm_acceptance_flat->GetXaxis()->SetTitle("M(e^{+}e^{-}) [GeV]");
   hEpEm_acceptance_flat->GetXaxis()->SetTitleSize(0.05);
   hEpEm_acceptance_flat->GetXaxis()->SetTitleOffset(0.8);
   hEpEm_acceptance->GetYaxis()->SetRangeUser(0,0.16);
   hEpEm_acceptance->Draw("EP");
   hEpEm_acceptance_flat->Draw("EP same");
   
   TLegend *legmkIII = new TLegend(0.11,0.7,0.45,0.9);
   legmkIII->SetTextSize(0.05);
   legmkIII->SetFillColor(0);
   legmkIII->AddEntry(hEpEm_acceptance,"QED+VMD M(e^{+}e^{-}) Acceptance","l");
   
   legmkIII->AddEntry(hEpEm_acceptance_flat,"Flat M(e^{+}e^{-}) Acceptance","l");
   legmkIII->Draw("same");
   
   
   //
   double QED_par[8] = {0.957}; //{Mass}
   TF1 *QED_norm = new TF1("QED_norm",Eval_Kroll_wada,0.,1.,1);
   QED_norm->SetParameters(&QED_par[0]);
   
   TH1D *hEpEm_corrected_flat = new TH1D("hEpEm_corrected_flat","hEpEm_corrected_flat",100,0.0,1);
   TH1D *hEpEm_QEDnorm_flat = new TH1D("hEpEm_QEDnorm_flat","hEpEm_QEDnorm_flat",100,0.0,1);
   for (int i = 1; i<hIVEpEm_cut_clone->GetNbinsX(); i++) {
   
   Double_t bin_factor = 1.65; //this needs to be solved at somepoint
   Double_t intotal_acceptance = hEpEm_acceptance_flat->GetBinContent(i)*bin_factor;
   Double_t intotal_events_upper;
   if (intotal_acceptance == 0) {
   intotal_events_upper = 0;
   }else{
   intotal_events_upper = hIVEpEm_cut_clone->GetBinContent(i)/intotal_acceptance;
   }
   hEpEm_corrected_flat->SetBinContent(i,intotal_events_upper);
   hEpEm_corrected_flat->SetBinError(i,sqrt(intotal_events_upper));
   
   Double_t QED_factor = QED_norm->Eval(hIVEpEm_cut_clone->GetBinCenter(i));//2.0e-06;
   
   hEpEm_QEDnorm_flat->SetBinContent(i,intotal_events_upper/QED_factor);
   //hEpEm_QEDnorm->SetBinError(i,sqrt(intotal_events_upper/QED_factor));
   
   }
   
   
   
   //
   
   double pole_par[3] = {10, 0.59,0.0144}; //{A,Lambda,Gamma}
   
   TF1 *FF_fittepole = new TF1("FF_fittepole", Pole_FFII,0.02,0.92,3);
   FF_fittepole->SetParameters(&pole_par[0]);
   FF_fittepole->SetParLimits(0,0.,100.);
   FF_fittepole->SetParLimits(1,pole_par[1] - pole_par[1]*0.1,pole_par[1] + pole_par[1]*0.1);
   FF_fittepole->SetParLimits(2,pole_par[2] - pole_par[2]*0.5,pole_par[2] + pole_par[2]*0.5);
   
   //for flat
   double pole_parII[3] = {10, 0.59,0.0144}; //{A,Lambda,Gamma}
   
   TF1 *FF_fittepoleII = new TF1("FF_fittepoleII", Pole_FFII,0.02,0.85,3);
   FF_fittepoleII->SetParameters(&pole_parII[0]);
   FF_fittepoleII->SetParLimits(0,0.,100.);
   FF_fittepoleII->SetParLimits(1,pole_parII[1] - pole_parII[1]*0.1,pole_parII[1] + pole_parII[1]*0.1);
   FF_fittepoleII->SetParLimits(2,pole_parII[2] - pole_parII[2]*0.5,pole_parII[2] + pole_parII[2]*0.5);
   FF_fittepoleII->SetLineColor(kBlue);
   //TF1 *FF_fitterGaus = new TF1("FF_fitterGaus","gaus",0.55,0.92);
   
   TCanvas *cmkI =  new TCanvas("cmkI","cmkI",1200,500);
   
   TH1D *hEpEm_QEDnorm = (TH1D*)in->Get("hEpEm_QEDnorm");
   cmkI->cd();
   hEpEm_QEDnorm->SetTitle("Expected distribution of |F(q^{2})|^{2}");
   hEpEm_QEDnorm->SetLineColor(kBlack);
   hEpEm_QEDnorm->SetYTitle("|F(q^{2})|^{2}");
   hEpEm_QEDnorm->GetYaxis()->SetTitleSize(0.05);
   hEpEm_QEDnorm->GetYaxis()->SetTitleOffset(0.8);
   hEpEm_QEDnorm->GetXaxis()->SetTitle("M(e^{+}e^{-}) [GeV]");
   hEpEm_QEDnorm->GetXaxis()->SetTitleSize(0.05);
   hEpEm_QEDnorm->GetXaxis()->SetTitleOffset(0.8);
   hEpEm_QEDnorm->Draw("EP");
   hEpEm_QEDnorm_flat->SetLineColor(8);
   hEpEm_QEDnorm_flat->Draw("EP same");
   hEpEm_QEDnorm_flat->Fit("FF_fittepoleII","REM");
   hEpEm_QEDnorm->Fit("FF_fittepole","REM+");
   
   Double_t Lambda = FF_fittepole->GetParameter(1);
   Double_t Lambdaerr = FF_fittepole->GetParError(1);
   Double_t bn = 1./Lambda;
   Double_t bn_err = Lambdaerr/(bn*bn);
   
   
   Double_t Lambda_flat = FF_fittepoleII->GetParameter(1);
   Double_t Lambdaerr_flat = FF_fittepoleII->GetParError(1);
   Double_t bn_flat = 1./Lambda_flat;
   Double_t bn_err_flat = Lambdaerr_flat/(bn_flat*bn_flat);
   
   
   TString sLambda = Form("#Lambda^{2}_{fit}  = %2.4f #pm %2.4f  ", Lambda,Lambdaerr);
   TString sbn = Form("b_{n} = %2.4f #pm %2.4f  ", bn,bn_err);
   
   TString sLambda_gen = Form("#Lambda^{2}_{gen}  = %2.4f  ", 0.5776);
   TString sbn_gen = Form("b_{n gen} = %2.4f  ", 1./0.5776);
   
   TString sLambda_flat = Form("#Lambda^{2}_{fit}  = %2.4f #pm %2.4f  ", Lambda_flat,Lambdaerr_flat);
   TString sbn_flat = Form("b_{n} = %2.4f #pm %2.4f  ", bn_flat,bn_err_flat);
   >>>>>>> master
   
   TCanvas *cmkII =  new TCanvas("cmkII","cmkII",1200,500);
   //cmkII->Divide(1,2);
   cmkII->cd();
   cmkII->SetLogy();
   TH1D *hIVEpEm_cut_clone = (TH1D*)in->Get("hIVEpEm_cut_clone");
   hIVEpEm_cut_clone->SetLineColor(kRed);
   hIVEpEm_cut_clone->SetYTitle("Expected Counts / 10 MeV");
   hIVEpEm_cut_clone->GetYaxis()->SetTitleSize(0.05);
   hIVEpEm_cut_clone->GetYaxis()->SetTitleOffset(0.8);
   hIVEpEm_cut_clone->GetXaxis()->SetTitle("M(e^{+}e^{-}) [GeV]");
   hIVEpEm_cut_clone->GetXaxis()->SetTitleSize(0.05);
   hIVEpEm_cut_clone->GetXaxis()->SetTitleOffset(0.8);
   TH1D *hEpEm_corrected = (TH1D*)in->Get("hEpEm_corrected");
   hEpEm_corrected->SetYTitle("Counts / 10 MeV");
   hEpEm_corrected->GetYaxis()->SetTitleSize(0.05);
   hEpEm_corrected->GetYaxis()->SetTitleOffset(0.8);
   hEpEm_corrected->GetXaxis()->SetTitle("M(e^{+}e^{-}) [GeV]");
   hEpEm_corrected->GetXaxis()->SetTitleSize(0.05);
   hEpEm_corrected->Draw("EP");
   hIVEpEm_cut_clone->Draw("EP same");
   
   TLegend *legmkII = new TLegend(0.45,0.7,0.9,0.9);
   legmkII->SetTextSize(0.05);
   legmkII->SetFillColor(0);
   legmkII->AddEntry(hIVEpEm_cut_clone,"Expected counts in 80 days","l");
   
   legmkII->AddEntry(hEpEm_corrected,"Accepted corrected counts in 80 days","l");
   legmkII->Draw("same");
   
   
   TCanvas *cmkIII =  new TCanvas("cmkIII","cmkIII",1200,500);
   cmkIII->cd();
   TH1D *hEpEm_acceptance = (TH1D*)in->Get("hEpEm_acceptance");
   hEpEm_acceptance->SetLineColor(kRed);
   hEpEm_acceptance->SetYTitle("Acceptance / 10 MeV");
   hEpEm_acceptance->GetYaxis()->SetTitleSize(0.05);
   hEpEm_acceptance->GetYaxis()->SetTitleOffset(0.8);
   hEpEm_acceptance->GetXaxis()->SetTitle("M(e^{+}e^{-}) [GeV]");
   hEpEm_acceptance->GetXaxis()->SetTitleSize(0.05);
   hEpEm_acceptance->GetXaxis()->SetTitleOffset(0.8);
   TH1D *hEpEm_acceptance_flat = (TH1D*)inflat->Get("hEpEm_acceptance");
   hEpEm_acceptance_flat->SetYTitle("Acceptance / 10 MeV");
   hEpEm_acceptance_flat->GetYaxis()->SetTitleSize(0.05);
   hEpEm_acceptance_flat->GetYaxis()->SetTitleOffset(0.8);
   hEpEm_acceptance_flat->GetXaxis()->SetTitle("M(e^{+}e^{-}) [GeV]");
   hEpEm_acceptance_flat->GetXaxis()->SetTitleSize(0.05);
   hEpEm_acceptance_flat->GetXaxis()->SetTitleOffset(0.8);
   hEpEm_acceptance->GetYaxis()->SetRangeUser(0,0.16);
   hEpEm_acceptance->Draw("EP");
   hEpEm_acceptance_flat->Draw("EP same");
   
   TLegend *legmkIII = new TLegend(0.11,0.7,0.45,0.9);
   legmkIII->SetTextSize(0.05);
   legmkIII->SetFillColor(0);
   legmkIII->AddEntry(hEpEm_acceptance,"QED+VMD M(e^{+}e^{-}) Acceptance","l");
   
   legmkIII->AddEntry(hEpEm_acceptance_flat,"Flat M(e^{+}e^{-}) Acceptance","l");
   legmkIII->Draw("same");
   
   
   //
   double QED_par[8] = {0.957}; //{Mass}
   TF1 *QED_norm = new TF1("QED_norm",Eval_Kroll_wada,0.,1.,1);
   QED_norm->SetParameters(&QED_par[0]);
   
   TH1D *hEpEm_corrected_flat = new TH1D("hEpEm_corrected_flat","hEpEm_corrected_flat",100,0.0,1);
   TH1D *hEpEm_QEDnorm_flat = new TH1D("hEpEm_QEDnorm_flat","hEpEm_QEDnorm_flat",100,0.0,1);
   for (int i = 1; i<hIVEpEm_cut_clone->GetNbinsX(); i++) {
   
   Double_t bin_factor = 1.65; //this needs to be solved at somepoint
   Double_t intotal_acceptance = hEpEm_acceptance_flat->GetBinContent(i)*bin_factor;
   Double_t intotal_events_upper;
   if (intotal_acceptance == 0) {
   intotal_events_upper = 0;
   }else{
   intotal_events_upper = hIVEpEm_cut_clone->GetBinContent(i)/intotal_acceptance;
   }
   hEpEm_corrected_flat->SetBinContent(i,intotal_events_upper);
   hEpEm_corrected_flat->SetBinError(i,sqrt(intotal_events_upper));
   
   Double_t QED_factor = QED_norm->Eval(hIVEpEm_cut_clone->GetBinCenter(i));//2.0e-06;
   
   hEpEm_QEDnorm_flat->SetBinContent(i,intotal_events_upper/QED_factor);
   //hEpEm_QEDnorm->SetBinError(i,sqrt(intotal_events_upper/QED_factor));
   
   }
   
   
   
   //
   
   double pole_par[3] = {10, 0.59,0.0144}; //{A,Lambda,Gamma}
   
   TF1 *FF_fittepole = new TF1("FF_fittepole", Pole_FFII,0.02,0.92,3);
   FF_fittepole->SetParameters(&pole_par[0]);
   FF_fittepole->SetParLimits(0,0.,100.);
   FF_fittepole->SetParLimits(1,pole_par[1] - pole_par[1]*0.1,pole_par[1] + pole_par[1]*0.1);
   FF_fittepole->SetParLimits(2,pole_par[2] - pole_par[2]*0.5,pole_par[2] + pole_par[2]*0.5);
   
   //for flat
   double pole_parII[3] = {10, 0.59,0.0144}; //{A,Lambda,Gamma}
   
   TF1 *FF_fittepoleII = new TF1("FF_fittepoleII", Pole_FFII,0.02,0.85,3);
   FF_fittepoleII->SetParameters(&pole_parII[0]);
   FF_fittepoleII->SetParLimits(0,0.,100.);
   FF_fittepoleII->SetParLimits(1,pole_parII[1] - pole_parII[1]*0.1,pole_parII[1] + pole_parII[1]*0.1);
   FF_fittepoleII->SetParLimits(2,pole_parII[2] - pole_parII[2]*0.5,pole_parII[2] + pole_parII[2]*0.5);
   FF_fittepoleII->SetLineColor(kBlue);
   //TF1 *FF_fitterGaus = new TF1("FF_fitterGaus","gaus",0.55,0.92);
   
   TCanvas *cmkI =  new TCanvas("cmkI","cmkI",1200,500);
   
   TH1D *hEpEm_QEDnorm = (TH1D*)in->Get("hEpEm_QEDnorm");
   cmkI->cd();
   hEpEm_QEDnorm->SetTitle("Expected distribution of |F(q^{2})|^{2}");
   hEpEm_QEDnorm->SetLineColor(kBlack);
   hEpEm_QEDnorm->SetYTitle("|F(q^{2})|^{2}");
   hEpEm_QEDnorm->GetYaxis()->SetTitleSize(0.05);
   hEpEm_QEDnorm->GetYaxis()->SetTitleOffset(0.8);
   hEpEm_QEDnorm->GetXaxis()->SetTitle("M(e^{+}e^{-}) [GeV]");
   hEpEm_QEDnorm->GetXaxis()->SetTitleSize(0.05);
   hEpEm_QEDnorm->GetXaxis()->SetTitleOffset(0.8);
   hEpEm_QEDnorm->Draw("EP");
   hEpEm_QEDnorm_flat->SetLineColor(8);
   hEpEm_QEDnorm_flat->Draw("EP same");
   hEpEm_QEDnorm_flat->Fit("FF_fittepoleII","REM");
   hEpEm_QEDnorm->Fit("FF_fittepole","REM+");
   
   Double_t Lambda = FF_fittepole->GetParameter(1);
   Double_t Lambdaerr = FF_fittepole->GetParError(1);
   Double_t bn = 1./Lambda;
   Double_t bn_err = Lambdaerr/(bn*bn);
   
   
   Double_t Lambda_flat = FF_fittepoleII->GetParameter(1);
   Double_t Lambdaerr_flat = FF_fittepoleII->GetParError(1);
   Double_t bn_flat = 1./Lambda_flat;
   Double_t bn_err_flat = Lambdaerr_flat/(bn_flat*bn_flat);
   
   
   TString sLambda = Form("#Lambda^{2}_{fit}  = %2.4f #pm %2.4f  ", Lambda,Lambdaerr);
   TString sbn = Form("b_{n} = %2.4f #pm %2.4f  ", bn,bn_err);
   
   TString sLambda_gen = Form("#Lambda^{2}_{gen}  = %2.4f  ", 0.5776);
   TString sbn_gen = Form("b_{n gen} = %2.4f  ", 1./0.5776);
   
   TString sLambda_flat = Form("#Lambda^{2}_{fit}  = %2.4f #pm %2.4f  ", Lambda_flat,Lambdaerr_flat);
   TString sbn_flat = Form("b_{n} = %2.4f #pm %2.4f  ", bn_flat,bn_err_flat);
   
   TLegend *legmkII = new TLegend(0.45,0.7,0.9,0.9);
   legmkII->SetTextSize(0.05);
   legmkII->SetFillColor(0);
   legmkII->AddEntry(hIVEpEm_cut_clone,"Expected counts in 80 days","l");
   
   legmkII->AddEntry(hEpEm_corrected,"Accepted corrected counts in 80 days","l");
   legmkII->Draw("same");
   
   
   TCanvas *cmkIII =  new TCanvas("cmkIII","cmkIII",1200,500);
   cmkIII->cd();
   TH1D *hEpEm_acceptance = (TH1D*)in->Get("hEpEm_acceptance");
   hEpEm_acceptance->SetLineColor(kRed);
   hEpEm_acceptance->SetYTitle("Acceptance / 10 MeV");
   hEpEm_acceptance->GetYaxis()->SetTitleSize(0.05);
   hEpEm_acceptance->GetYaxis()->SetTitleOffset(0.8);
   hEpEm_acceptance->GetXaxis()->SetTitle("M(e^{+}e^{-}) [GeV]");
   hEpEm_acceptance->GetXaxis()->SetTitleSize(0.05);
   hEpEm_acceptance->GetXaxis()->SetTitleOffset(0.8);
   TH1D *hEpEm_acceptance_flat = (TH1D*)inflat->Get("hEpEm_acceptance");
   hEpEm_acceptance_flat->SetYTitle("Acceptance / 10 MeV");
   hEpEm_acceptance_flat->GetYaxis()->SetTitleSize(0.05);
   hEpEm_acceptance_flat->GetYaxis()->SetTitleOffset(0.8);
   hEpEm_acceptance_flat->GetXaxis()->SetTitle("M(e^{+}e^{-}) [GeV]");
   hEpEm_acceptance_flat->GetXaxis()->SetTitleSize(0.05);
   hEpEm_acceptance_flat->GetXaxis()->SetTitleOffset(0.8);
   hEpEm_acceptance->GetYaxis()->SetRangeUser(0,0.16);
   hEpEm_acceptance->Draw("EP");
   hEpEm_acceptance_flat->Draw("EP same");
   
   TLegend *legmkIII = new TLegend(0.11,0.7,0.45,0.9);
   legmkIII->SetTextSize(0.05);
   legmkIII->SetFillColor(0);
   legmkIII->AddEntry(hEpEm_acceptance,"QED+VMD M(e^{+}e^{-}) Acceptance","l");
   
   legmkIII->AddEntry(hEpEm_acceptance_flat,"Flat M(e^{+}e^{-}) Acceptance","l");
   legmkIII->Draw("same");
   
   
   //
   double QED_par[8] = {0.957}; //{Mass}
   TF1 *QED_norm = new TF1("QED_norm",Eval_Kroll_wada,0.,1.,1);
   QED_norm->SetParameters(&QED_par[0]);
   
   TH1D *hEpEm_corrected_flat = new TH1D("hEpEm_corrected_flat","hEpEm_corrected_flat",100,0.0,1);
   TH1D *hEpEm_QEDnorm_flat = new TH1D("hEpEm_QEDnorm_flat","hEpEm_QEDnorm_flat",100,0.0,1);
   for (int i = 1; i<hIVEpEm_cut_clone->GetNbinsX(); i++) {
   
   Double_t bin_factor = 1.65; //this needs to be solved at somepoint
   Double_t intotal_acceptance = hEpEm_acceptance_flat->GetBinContent(i)*bin_factor;
   Double_t intotal_events_upper;
   if (intotal_acceptance == 0) {
   intotal_events_upper = 0;
   }else{
   intotal_events_upper = hIVEpEm_cut_clone->GetBinContent(i)/intotal_acceptance;
   }
   hEpEm_corrected_flat->SetBinContent(i,intotal_events_upper);
   hEpEm_corrected_flat->SetBinError(i,sqrt(intotal_events_upper));
   
   Double_t QED_factor = QED_norm->Eval(hIVEpEm_cut_clone->GetBinCenter(i));//2.0e-06;
   
   hEpEm_QEDnorm_flat->SetBinContent(i,intotal_events_upper/QED_factor);
   //hEpEm_QEDnorm->SetBinError(i,sqrt(intotal_events_upper/QED_factor));
   
   }
   
   
   
   //
   
   double pole_par[3] = {10, 0.59,0.0144}; //{A,Lambda,Gamma}
   
   TF1 *FF_fittepole = new TF1("FF_fittepole", Pole_FFII,0.02,0.92,3);
   FF_fittepole->SetParameters(&pole_par[0]);
   FF_fittepole->SetParLimits(0,0.,100.);
   FF_fittepole->SetParLimits(1,pole_par[1] - pole_par[1]*0.1,pole_par[1] + pole_par[1]*0.1);
   FF_fittepole->SetParLimits(2,pole_par[2] - pole_par[2]*0.5,pole_par[2] + pole_par[2]*0.5);
   
   //for flat
   double pole_parII[3] = {10, 0.59,0.0144}; //{A,Lambda,Gamma}
   
   TF1 *FF_fittepoleII = new TF1("FF_fittepoleII", Pole_FFII,0.02,0.85,3);
   FF_fittepoleII->SetParameters(&pole_parII[0]);
   FF_fittepoleII->SetParLimits(0,0.,100.);
   FF_fittepoleII->SetParLimits(1,pole_parII[1] - pole_parII[1]*0.1,pole_parII[1] + pole_parII[1]*0.1);
   FF_fittepoleII->SetParLimits(2,pole_parII[2] - pole_parII[2]*0.5,pole_parII[2] + pole_parII[2]*0.5);
   FF_fittepoleII->SetLineColor(kBlue);
   //TF1 *FF_fitterGaus = new TF1("FF_fitterGaus","gaus",0.55,0.92);
   
   TCanvas *cmkI =  new TCanvas("cmkI","cmkI",1200,500);
   
   TH1D *hEpEm_QEDnorm = (TH1D*)in->Get("hEpEm_QEDnorm");
   cmkI->cd();
   hEpEm_QEDnorm->SetTitle("Expected distribution of |F(q^{2})|^{2}");
   hEpEm_QEDnorm->SetLineColor(kBlack);
   hEpEm_QEDnorm->SetYTitle("|F(q^{2})|^{2}");
   hEpEm_QEDnorm->GetYaxis()->SetTitleSize(0.05);
   hEpEm_QEDnorm->GetYaxis()->SetTitleOffset(0.8);
   hEpEm_QEDnorm->GetXaxis()->SetTitle("M(e^{+}e^{-}) [GeV]");
   hEpEm_QEDnorm->GetXaxis()->SetTitleSize(0.05);
   hEpEm_QEDnorm->GetXaxis()->SetTitleOffset(0.8);
   hEpEm_QEDnorm->Draw("EP");
   hEpEm_QEDnorm_flat->SetLineColor(8);
   hEpEm_QEDnorm_flat->Draw("EP same");
   hEpEm_QEDnorm_flat->Fit("FF_fittepoleII","REM");
   hEpEm_QEDnorm->Fit("FF_fittepole","REM+");
   
   Double_t Lambda = FF_fittepole->GetParameter(1);
   Double_t Lambdaerr = FF_fittepole->GetParError(1);
   Double_t bn = 1./Lambda;
   Double_t bn_err = Lambdaerr/(bn*bn);
   
   
   Double_t Lambda_flat = FF_fittepoleII->GetParameter(1);
   Double_t Lambdaerr_flat = FF_fittepoleII->GetParError(1);
   Double_t bn_flat = 1./Lambda_flat;
   Double_t bn_err_flat = Lambdaerr_flat/(bn_flat*bn_flat);
   
   
   TString sLambda = Form("#Lambda^{2}_{fit}  = %2.4f #pm %2.4f  ", Lambda,Lambdaerr);
   TString sbn = Form("b_{n} = %2.4f #pm %2.4f  ", bn,bn_err);
   
   TString sLambda_gen = Form("#Lambda^{2}_{gen}  = %2.4f  ", 0.5776);
   TString sbn_gen = Form("b_{n gen} = %2.4f  ", 1./0.5776);
   
   TString sLambda_flat = Form("#Lambda^{2}_{fit}  = %2.4f #pm %2.4f  ", Lambda_flat,Lambdaerr_flat);
   TString sbn_flat = Form("b_{n} = %2.4f #pm %2.4f  ", bn_flat,bn_err_flat);
   
   
   TLegend *legmkI = new TLegend(0.12,0.55,0.37,0.9);
   legmkI->SetTextSize(0.04);
   
   legmkI->SetHeader("\t QED+VMD M(e^{+}e^{-}) Acceptance");
   legmkI->SetFillColor(0);
   legmkI->AddEntry(FF_fittepole,sLambda,"l");
   legmkI->AddEntry((TObject*)0,sbn,"");
   legmkI->AddEntry((TObject*)0,sLambda_gen,"");
   legmkI->AddEntry((TObject*)0,sbn_gen,"");
   legmkI->Draw("same");
   
   TLegend *legmkI_I = new TLegend(0.37,0.55,0.57,0.9);
   legmkI_I->SetTextSize(0.04);
   
   legmkI_I->SetHeader("\t Flat M(e^{+}e^{-}) Acceptance");
   legmkI_I->SetFillColor(0);
   legmkI_I->AddEntry(FF_fittepoleII,sLambda_flat,"l");
   legmkI_I->AddEntry((TObject*)0,sbn_flat,"");
   legmkI_I->AddEntry((TObject*)0,"","");
   legmkI_I->AddEntry((TObject*)0,"","");
   
   legmkI_I->Draw("same");
   */
}
void plotLeadingJet(int cbin,
		    TString infname,
		    TString pythia,
		    TString mix,
		    bool useWeight,
		    bool drawXLabel,
		    bool drawLeg)
{

  TString cut="et1>120 && et2>50 && dphi>2.5";
  TString cutpp="et1>120 && et2>50 && dphi>2.5";
  TString cstring = "";
  if(cbin==0) {
    cstring = "0-10%";
    cut+=" && bin>=0 && bin<4";
    cut+=" && ((et1-et2)/(et1+et2) > 0.3)";
  } else if (cbin==1) {
     cstring = "10-30%";
     cut+=" && bin>=4 && bin<12";
     cut+=" && ((et1-et2)/(et1+et2) > 0.3)";
  } else {
     cstring = "30-100%";
     cut+=" && bin>=12 && bin<40";
     cut+=" && ((et1-et2)/(et1+et2) > 0.3)";
  }
  
  // open the data file
  TFile *inf = new TFile(infname.Data());
  TTree *nt =(TTree*)inf->FindObjectAny("nt");

  // open the pythia (MC) file
  TFile *infPythia = new TFile(pythia.Data());
  TTree *ntPythia = (TTree*) infPythia->FindObjectAny("nt");

  // open the datamix file
  TFile *infMix = new TFile(mix.Data());
  TTree *ntMix =(TTree*)infMix->FindObjectAny("nt");


  // projection histogram
  TH1D *h = new TH1D("h","",10,60,135);
  TH1D *hPythia = new TH1D("hPythia","",10,60,135);
  TH1D *hDataMix = new TH1D("hDataMix","",10,60,135);
  nt->Draw("et2>>h",Form("(%s)",cut.Data())); 
   
  if (useWeight) {
    // use the weight value caluculated by Matt's analysis macro
    ntMix->Draw("et2>>hDataMix",Form("(%s)*weight",cut.Data())); 
  } else {
    // ignore centrality reweighting
    ntMix->Draw("et2>>hDataMix",Form("(%s)",cut.Data()));  
  }
    ntPythia->Draw("et2>>hPythia",Form("(%s)",cutpp.Data())); 
  // calculate the statistical error and normalize
  h->Sumw2();
  h->Scale(1./h->GetEntries());
  h->SetMarkerStyle(20);

  hPythia->Scale(1./hPythia->Integral(0,20));
  hPythia->SetLineColor(kBlue);
  hPythia->SetFillColor(kAzure-8);
  hPythia->SetFillStyle(3005);
   
  hPythia->SetStats(0);
  hPythia->Draw("hist");
  if(drawXLabel) hPythia->SetXTitle("Subleading Jet E_{T} (GeV)");

  hPythia->GetXaxis()->SetLabelSize(20);
  hPythia->GetXaxis()->SetLabelFont(43);
  hPythia->GetXaxis()->SetTitleSize(22);
  hPythia->GetXaxis()->SetTitleFont(43);
  hPythia->GetXaxis()->SetTitleOffset(1.5);
  hPythia->GetXaxis()->CenterTitle();

  hPythia->GetXaxis()->SetNdivisions(904,true);

  hPythia->SetYTitle("Event Fraction");

  hPythia->GetYaxis()->SetLabelSize(20);
  hPythia->GetYaxis()->SetLabelFont(43);
  hPythia->GetYaxis()->SetTitleSize(20);
  hPythia->GetYaxis()->SetTitleFont(43);
  hPythia->GetYaxis()->SetTitleOffset(2.5);
  hPythia->GetYaxis()->CenterTitle();

  hPythia->SetAxisRange(2E-3,3,"Y");
  hDataMix->SetAxisRange(2E-3,3,"Y");
  h->SetAxisRange(2E-3,3,"Y");


  h->Draw("same");

  hDataMix->Scale(1./hDataMix->Integral(0,20));
  hDataMix->SetLineColor(kRed);
  hDataMix->SetFillColor(kRed-9);
  hDataMix->SetFillStyle(3004);
  hDataMix->Draw("same");

  if(drawLeg){
     TLegend *t3=new TLegend(0.25,0.74,0.79,0.90);
    t3->AddEntry(h,"Pb+Pb  #sqrt{s}_{_{NN}}=2.76 TeV","pl");
    t3->AddEntry(hPythia,"PYTHIA","lf");
    t3->AddEntry(hDataMix,"embedded PYTHIA","lf");
    t3->SetFillColor(0);
    t3->SetBorderSize(0);
    t3->SetFillStyle(0);
    t3->SetTextFont(63);
    t3->SetTextSize(15);
    t3->Draw();
  }
  
}
void makeNice(TString fileName, TString nice = "nicePlot"){

  TFile *f = TFile::Open(fileName);
  //  TFile *f = TFile::Open("out_Parameters_bkg1_3vtx.root");
  TGraphErrors * gRgre = (TGraphErrors*)f->Get("gR");
  TGraphErrors * gXgre = (TGraphErrors*)f->Get("gX");
  TGraphErrors * gYgre = (TGraphErrors*)f->Get("gY");

  TGraphErrors * rRgre = (TGraphErrors*)f->Get("rR");
  TGraphErrors * rXgre = (TGraphErrors*)f->Get("rX");
  TGraphErrors * rYgre = (TGraphErrors*)f->Get("rY");



//=========Macro generated from canvas: c1_n2/c1_n2
//=========  (Fri May 27 11:43:08 2011) by ROOT version5.27/06b
   TCanvas *c1_n2 = new TCanvas("c1_n2","c1_n2",700,1500);
   gStyle->SetOptFit(0);
   gStyle->SetOptStat(0);
   c1_n2->Range(0,0,1,1);
   c1_n2->SetFillColor(0);
   c1_n2->SetBorderMode(0);
   c1_n2->SetBorderSize(2);
   c1_n2->SetTickx(1);
   c1_n2->SetTicky(1);
   c1_n2->SetLeftMargin(0.13);
   c1_n2->SetRightMargin(0.05);
   c1_n2->SetTopMargin(0.05);
   c1_n2->SetBottomMargin(0.13);
   c1_n2->SetFrameFillStyle(0);
   c1_n2->SetFrameBorderMode(0);
  
// ------------>Primitives in pad: c1_n2_1
   TPad *c1_n2_1 = new TPad("c1_n2_1", "c1_n2_1",0.01,0.67,0.99,0.99);
   c1_n2_1->Draw();
   c1_n2_1->cd();
   c1_n2_1->Range(-52.68293,-0.03170732,44.87805,0.2121951);
   c1_n2_1->SetFillColor(0);
   c1_n2_1->SetBorderMode(0);
   c1_n2_1->SetBorderSize(2);
   c1_n2_1->SetTickx(1);
   c1_n2_1->SetTicky(1);
   c1_n2_1->SetLeftMargin(0.12);
   c1_n2_1->SetRightMargin(0.02);
   c1_n2_1->SetTopMargin(0.05);
   c1_n2_1->SetBottomMargin(0.2);
   c1_n2_1->SetFrameFillStyle(0);
   c1_n2_1->SetFrameBorderMode(0);
   c1_n2_1->SetFrameFillStyle(0);
   c1_n2_1->SetFrameBorderMode(0);
   
   TH1D *PLOTTERX = new TH1D("PLOTTERX","",1,-40,40);
   PLOTTERX->SetMinimum(-0.19);
   PLOTTERX->SetMaximum(+0.19);
   PLOTTERX->SetFillColor(63);
   PLOTTERX->SetLineStyle(0);
   PLOTTERX->SetMarkerStyle(20);
   PLOTTERX->GetXaxis()->SetLabelFont(42);
   PLOTTERX->GetXaxis()->SetLabelOffset(0.007);
   PLOTTERX->GetXaxis()->SetLabelSize(0.09);
   PLOTTERX->GetXaxis()->SetTitleSize(0.1);
   PLOTTERX->GetXaxis()->SetTitleOffset(0.9);
   PLOTTERX->GetXaxis()->SetTitleFont(42);
   PLOTTERX->GetXaxis()->SetTitle("z [cm]");
   PLOTTERX->GetYaxis()->SetNdivisions(505);
   PLOTTERX->GetYaxis()->SetTitle("x_{0} [cm] ");
   PLOTTERX->GetYaxis()->SetLabelFont(42);
   PLOTTERX->GetYaxis()->SetLabelOffset(0.007);
   PLOTTERX->GetYaxis()->SetLabelSize(0.09);
   PLOTTERX->GetYaxis()->SetTitleSize(0.1);
   PLOTTERX->GetYaxis()->SetTitleOffset(0.5);
   PLOTTERX->GetYaxis()->SetTitleFont(42);
   PLOTTERX->GetZaxis()->SetLabelFont(42);
   PLOTTERX->GetZaxis()->SetLabelOffset(0.007);
   PLOTTERX->GetZaxis()->SetLabelSize(0.05);
   PLOTTERX->GetZaxis()->SetTitleSize(0.06);
   PLOTTERX->GetZaxis()->SetTitleFont(42);
   PLOTTERX->Draw("");
   
   gXgre->SetFillColor(kBlack);
   gXgre->SetMarkerStyle(20);
   gXgre->SetMarkerColor(kBlack);
   gXgre->SetLineColor(kBlack);
   gXgre->GetListOfFunctions()->RemoveLast(); //to remove parameters panel...
   gXgre->GetListOfFunctions()->RemoveLast(); //...and old fit
   gXgre->SetLineWidth(2);
   gXgre->Draw("P");

   rXgre->SetFillColor(kBlue);
   rXgre->SetMarkerStyle(20);
   rXgre->SetMarkerColor(kBlue);
   rXgre->SetLineColor(kBlue);
   rXgre->GetListOfFunctions()->RemoveLast(); //to remove parameters panel...
   rXgre->GetListOfFunctions()->RemoveLast(); //...and old fit
   rXgre->SetLineWidth(2);
   rXgre->Draw("P");

   TLatex *CMSPrel = new TLatex(-37.0,PLOTTERX->GetMaximum()-0.025,"CMS Preliminary 2011");
   CMSPrel->SetTextSize(0.06);
   //   CMSPrel->Draw();
   c1_n2_1->Modified();
   c1_n2->cd();
  
// ------------>Primitives in pad: c1_n2_2
   TPad *c1_n2_2 = new TPad("c1_n2_1", "c1_n2_1",0.01,0.34,0.99,0.66);
   //   TPad *c1_n2_1 = new TPad("c1_n2_1", "c1_n2_1",0.01,0.01,0.99,0.33);
   c1_n2_2->Draw();
   c1_n2_2->cd();
   c1_n2_2->Range(-52.68293,-0.3317073,44.87805,-0.08780488);
   c1_n2_2->SetFillColor(0);
   c1_n2_2->SetBorderMode(0);
   c1_n2_2->SetBorderSize(2);
   c1_n2_2->SetTickx(1);
   c1_n2_2->SetTicky(1);
   c1_n2_2->SetLeftMargin(0.12);
   c1_n2_2->SetRightMargin(0.02);
   c1_n2_2->SetTopMargin(0.05);
   c1_n2_2->SetBottomMargin(0.2);
   c1_n2_2->SetFrameFillStyle(0);
   c1_n2_2->SetFrameBorderMode(0);
   c1_n2_2->SetFrameFillStyle(0);
   c1_n2_2->SetFrameBorderMode(0);
   
   TH1D *PLOTTERY = new TH1D("PLOTTERY","",1,-40,40);
   PLOTTERY->SetMinimum(-0.29);
   PLOTTERY->SetMaximum(+0.09);
   PLOTTERY->SetFillColor(63);
   PLOTTERY->SetLineStyle(0);
   PLOTTERY->SetMarkerStyle(20);
   PLOTTERY->GetXaxis()->SetLabelFont(42);
   PLOTTERY->GetXaxis()->SetLabelOffset(0.007);
   PLOTTERY->GetXaxis()->SetLabelSize(0.09);
   PLOTTERY->GetXaxis()->SetTitleSize(0.1);
   PLOTTERY->GetXaxis()->SetTitleFont(42);
   PLOTTERY->GetXaxis()->SetTitleOffset(0.9);
   PLOTTERY->GetXaxis()->SetTitle("z [cm]");
   PLOTTERY->GetYaxis()->SetNdivisions(505);
   PLOTTERY->GetYaxis()->SetTitle("y_{0} [cm] ");
   PLOTTERY->GetYaxis()->SetLabelFont(42);
   PLOTTERY->GetYaxis()->SetLabelOffset(0.007);
   PLOTTERY->GetYaxis()->SetLabelSize(0.09);
   PLOTTERY->GetYaxis()->SetTitleSize(0.1);
   PLOTTERY->GetYaxis()->SetTitleOffset(0.5);
   PLOTTERY->GetYaxis()->SetTitleFont(42);
   PLOTTERY->GetZaxis()->SetLabelFont(42);
   PLOTTERY->GetZaxis()->SetLabelOffset(0.007);
   PLOTTERY->GetZaxis()->SetLabelSize(0.05);
   PLOTTERY->GetZaxis()->SetTitleSize(0.06);
   PLOTTERY->GetZaxis()->SetTitleFont(42);
   PLOTTERY->Draw("");
   
   gYgre->SetFillColor(kBlack);
   gYgre->SetMarkerStyle(20);
   gYgre->SetMarkerColor(kBlack);
   gYgre->SetLineColor(kBlack);
   gYgre->GetListOfFunctions()->RemoveLast(); //to remove parameters panel...
   gYgre->GetListOfFunctions()->RemoveLast(); //...and old fit
   gYgre->SetLineWidth(2);
   gYgre->Draw("P");

   rYgre->SetFillColor(kBlue);
   rYgre->SetMarkerStyle(20);
   rYgre->SetMarkerColor(kBlue);
   rYgre->SetLineColor(kBlue);
   rYgre->GetListOfFunctions()->RemoveLast(); //to remove parameters panel...
   rYgre->GetListOfFunctions()->RemoveLast(); //...and old fit
   rYgre->SetLineWidth(2);
   rYgre->Draw("P");

   TLatex *CMSPrel = new TLatex(-37.0,PLOTTERY->GetMaximum()-0.025,"CMS Preliminary 2011");
   CMSPrel->SetTextSize(0.06);
   //   CMSPrel->Draw();
   c1_n2_2->Modified();
   c1_n2->cd();
  

// ------------>Primitives in pad: c1_n2_2
   TPad *c1_n2_3 = new TPad("c1_n2_1", "c1_n2_1",0.01,0.01,0.99,0.33);
   //   TPad *c1_n2_1 = new TPad("c1_n2_1", "c1_n2_1",0.01,0.01,0.99,0.33);
   c1_n2_3->Draw();
   c1_n2_3->cd();
   c1_n2_3->Range(-52.68293,-0.3317073,44.87805,-0.08780488);
   c1_n2_3->SetFillColor(0);
   c1_n2_3->SetBorderMode(0);
   c1_n2_3->SetBorderSize(2);
   c1_n2_3->SetTickx(1);
   c1_n2_3->SetTicky(1);
   c1_n2_3->SetLeftMargin(0.12);
   c1_n2_3->SetRightMargin(0.02);
   c1_n2_3->SetTopMargin(0.05);
   c1_n2_3->SetBottomMargin(0.2);
   c1_n2_3->SetFrameFillStyle(0);
   c1_n2_3->SetFrameBorderMode(0);
   c1_n2_3->SetFrameFillStyle(0);
   c1_n2_3->SetFrameBorderMode(0);
   
   TH1D *PLOTTERR = new TH1D("PLOTTERR","",1,-40,40);
   PLOTTERR->SetMinimum(2.87);
   PLOTTERR->SetMaximum(2.97);
   PLOTTERR->SetFillColor(63);
   PLOTTERR->SetLineStyle(0);
   PLOTTERR->SetMarkerStyle(20);
   PLOTTERR->GetXaxis()->SetLabelFont(42);
   PLOTTERR->GetXaxis()->SetLabelOffset(0.007);
   PLOTTERR->GetXaxis()->SetLabelSize(0.09);
   PLOTTERR->GetXaxis()->SetTitleSize(0.1);
   PLOTTERR->GetXaxis()->SetTitleFont(42);
   PLOTTERR->GetXaxis()->SetTitleOffset(0.9);
   PLOTTERR->GetXaxis()->SetTitle("z [cm]");
   PLOTTERR->GetYaxis()->SetNdivisions(505);
   PLOTTERR->GetYaxis()->SetTitle("R [cm] ");
   PLOTTERR->GetYaxis()->SetLabelFont(42);
   PLOTTERR->GetYaxis()->SetLabelOffset(0.007);
   PLOTTERR->GetYaxis()->SetLabelSize(0.09);
   PLOTTERR->GetYaxis()->SetTitleSize(0.1);
   PLOTTERR->GetYaxis()->SetTitleOffset(0.5);
   PLOTTERR->GetYaxis()->SetTitleFont(42);
   PLOTTERR->GetZaxis()->SetLabelFont(42);
   PLOTTERR->GetZaxis()->SetLabelOffset(0.007);
   PLOTTERR->GetZaxis()->SetLabelSize(0.05);
   PLOTTERR->GetZaxis()->SetTitleSize(0.06);
   PLOTTERR->GetZaxis()->SetTitleFont(42);
   PLOTTERR->Draw("");
   
   gRgre->SetFillColor(kBlack);
   gRgre->SetMarkerStyle(20);
   gRgre->SetMarkerColor(kBlack);
   gRgre->SetLineColor(kBlack);
   gRgre->GetListOfFunctions()->RemoveLast(); //to remove parameters panel...
   gRgre->GetListOfFunctions()->RemoveLast(); //...and old fit
   gRgre->SetLineWidth(2);
   gRgre->Draw("P");

   rRgre->SetFillColor(kBlue);
   rRgre->SetMarkerStyle(20);
   rRgre->SetMarkerColor(kBlue);
   rRgre->SetLineColor(kBlue);
   rRgre->GetListOfFunctions()->RemoveLast(); //to remove parameters panel...
   rRgre->GetListOfFunctions()->RemoveLast(); //...and old fit
   rRgre->SetLineWidth(2);
   rRgre->Draw("P");

   TLatex *CMSPrel = new TLatex(-37.0,PLOTTERR->GetMaximum()-0.025,"CMS Preliminary 2011");
   CMSPrel->SetTextSize(0.06);
   //   CMSPrel->Draw();
   c1_n2_3->Modified();
   c1_n2->cd();
 
   

   TF1* fX = new TF1("fX", "[0]+[1]*x", -35, 35); 
   TF1* fY = new TF1("fY", "[0]+[1]*x", -35, 35); 
   TF1* fR = new TF1("fR", "[0]+[1]*x", -35, 35); 

   fX->SetParameter(0, 0.1);
   fX->SetParameter(1, -0.0007);

   fY->SetParameter(0, -0.2);
   fY->SetParameter(1, +0.0007);

   fR->SetParameter(0, 2.94);
   fR->SetParameter(1, 0.0);

   gXgre->Fit(fX);
   gYgre->Fit(fY);
   gRgre->Fit(fR);

   //
   c1_n2->cd();
   c1_n2->Modified();
   c1_n2->cd();
   c1_n2->SetSelected(c1_n2);

   c1_n2->SaveAs(nice+".png"); //!Serve!!!!
   c1_n2->SaveAs(nice+".gif");
   c1_n2->SaveAs(nice+".png");


}
void ShowStack(TH1D* data,TH1D* noise,TH1D* b,TH1D* c,TH1D* d,TH1D* sl1,TH1D* sl2, string type)
  {
    cout << data << " " << noise << " " << b << " " << c << " " << d << " " << sl1 << " " << sl2 << endl;
  double eposscale=double(c->Integral())/double(sl1->Integral());
  double eposscale2=double(c->Integral())/double(sl2->Integral());
  noise->Scale(1./double(data->Integral()) * 48.216 / (9.9845*(1.-(84.+296.)/3568.))); //HLT PAAccept rate is 48.2216HZ compared to 9.9845Hz of noise //(84+296)/3568 get skipped because pf BPTX_quiet
  data->Scale(1./double(data->Integral()));
  b->Scale(data->Integral()/b->Integral());
  double eposnorm=data->Integral()/c->Integral();
  c->Scale(eposnorm);
  d->Scale(data->Integral()/d->Integral());
  sl1->Scale(eposscale*195./2130.*eposnorm);
  sl2->Scale(eposscale2*122./2130.*eposnorm);
  sl1->SetBit(TH1::kIsAverage);
  sl2->SetBit(TH1::kIsAverage);
  if(sl1->Add(sl2) == kFALSE) {new TCanvas; sl1->Draw(); new TCanvas; sl2->Draw(); cerr << "add failed" << endl; return;}
  TH1D* sl = sl1;

  //data->Add(noise,-1);
  data->SetMarkerSize(1);

  // data->SetLineWidth(2);
  // noise->SetLineWidth(1.5);
  // b->SetLineWidth(2);
  // c->SetLineWidth(2);
  // d->SetLineWidth(2);
  // sl->SetLineWidth(2);


  data->SetMarkerColor(kBlack);
  noise->SetMarkerColor(kGreen-10);
  b->SetMarkerColor(kRed);
  c->SetMarkerColor(kBlue);
  d->SetMarkerColor(kGreen+2);
  sl->SetMarkerColor(kOrange-9);

  noise->SetMarkerStyle(34);
  b->SetMarkerStyle(4);
  c->SetMarkerStyle(25);
  d->SetMarkerStyle(28);
  sl->SetMarkerStyle(22);

  data->SetLineColor(data->GetMarkerColor());
  noise->SetLineColor(noise->GetMarkerColor());
  b->SetLineColor(b->GetMarkerColor());
  c->SetLineColor(c->GetMarkerColor());
  d->SetLineColor(d->GetMarkerColor());
  sl->SetLineColor(sl->GetMarkerColor());

  data->SetFillColor(data->GetMarkerColor());
  noise->SetFillColor(noise->GetMarkerColor());
  b->SetFillColor(b->GetMarkerColor());
  c->SetFillColor(c->GetMarkerColor());
  d->SetFillColor(d->GetMarkerColor());
  sl->SetFillColor(sl->GetMarkerColor());


  data->SetTitle("Data");
  noise->SetTitle("Noise");
  b->SetTitle("HIJING 1.383");
  c->SetTitle("EPOS-LHC");
  d->SetTitle("QGSJetII-04");
  sl->SetTitle("#gamma-p (STARLIGHT+DPMJET/PYTHIA)");

  //data->GetXaxis()->SetLimits(1,);
  data->GetYaxis()->SetRangeUser(0,0.2);
  data->GetXaxis()->SetTitle("HF Ring (ieta)");
  data->GetYaxis()->SetTitle("events (normalised)");
  data->GetXaxis()->SetTitleOffset(data->GetXaxis()->GetTitleOffset()*1.1);


  THStack* h_s_bg = new THStack("h_s_gb","events");
  h_s_bg->Add(noise,"HIST F");
  h_s_bg->Add(sl,"HIST F");

  if(0)
    {
      b = merge(noise,sl,b);
      c = merge(noise,sl,c);
      d = merge(noise,sl,d);
    }

  TCanvas* c1 = new TCanvas;
  data->Draw("P");
  h_s_bg->Draw("SAME");
  b->Draw("SAME");
  c->Draw("SAME");
  d->Draw("SAME");
  data->Draw("SAME P");
  data->Draw("SAME AXIS");

  TLegend* leg = new TLegend(0.23,0.72,0.43,0.93);
  SetLegAtt(leg);
  leg->AddEntry(data,"","p");
  leg->AddEntry(b,"","p");
  leg->AddEntry(c,"","p");
  leg->AddEntry(d,"","p");
  leg->AddEntry(sl,"","f");
  leg->AddEntry(noise,"","f");
  leg->Draw();
  CMSText(1,0,1,type=="single"?"single-arm selection":"double-arm selection");

  data->GetXaxis()->SetRangeUser(-41,-29);
  c1->SaveAs((string("plots/hf_") + type + string("_triggered_rings_m")+string(".pdf")).c_str());
  data->GetXaxis()->SetRangeUser(29,41);
  c1->SaveAs((string("plots/hf_") + type + string("_triggered_rings_p")+string(".pdf")).c_str());

}
Esempio n. 28
0
void fitWm(const TString  outputDir,   // output directory
           const Double_t lumi,        // integrated luminosity (/fb)
	   const Double_t nsigma=0     // vary MET corrections by n-sigmas (nsigma=0 means nominal correction)
) {
  gBenchmark->Start("fitWm");

  //--------------------------------------------------------------------------------------------------------------
  // Settings 
  //==============================================================================================================   
  
  // MET histogram binning and range
  const Int_t    NBINS   = 50;
  const Double_t METMAX  = 100;
  
  const Double_t PT_CUT  = 25;
  const Double_t ETA_CUT = 2.1;

  // file format for output plots
  const TString format("png"); 

    
  // recoil correction
  RecoilCorrector recoilCorr("../Recoil/ZmmData/fits.root");//, (!) uncomment to perform corrections to recoil from W-MC/Z-MC
                             //"../Recoil/WmpMC/fits.root",
			     //"../Recoil/WmmMC/fits.root",
			     //"../Recoil/ZmmMC/fits.root");
   
  // NNLO boson pT k-factors
  TFile nnloCorrFile("/data/blue/ksung/EWKAna/8TeV/Utils/Ratio.root");
  TH1D *hNNLOCorr = (TH1D*)nnloCorrFile.Get("RpT_B");
  
  //
  // input ntuple file names
  //
  enum { eData, eWmunu, eEWK, eAntiData, eAntiWmunu, eAntiEWK };  // data type enum
  vector<TString> fnamev;
  vector<Int_t>   typev;
  
  fnamev.push_back("/data/blue/ksung/EWKAna/8TeV/Selection/Wmunu/ntuples/data_select.root"); typev.push_back(eData);
  fnamev.push_back("/data/blue/ksung/EWKAna/8TeV/Selection/Wmunu/ntuples/wm_select.root");   typev.push_back(eWmunu);
  fnamev.push_back("/data/blue/ksung/EWKAna/8TeV/Selection/Wmunu/ntuples/ewk_select.root");  typev.push_back(eEWK);
  fnamev.push_back("/data/blue/ksung/EWKAna/8TeV/Selection/Wmunu/ntuples/top_select.root");  typev.push_back(eEWK);
  
  fnamev.push_back("/data/blue/ksung/EWKAna/8TeV/Selection/AntiWmunu/ntuples/data_select.root"); typev.push_back(eAntiData);
  fnamev.push_back("/data/blue/ksung/EWKAna/8TeV/Selection/AntiWmunu/ntuples/wm_select.root");   typev.push_back(eAntiWmunu);
  fnamev.push_back("/data/blue/ksung/EWKAna/8TeV/Selection/AntiWmunu/ntuples/ewk_select.root");  typev.push_back(eAntiEWK);
  fnamev.push_back("/data/blue/ksung/EWKAna/8TeV/Selection/AntiWmunu/ntuples/top_select.root");  typev.push_back(eAntiEWK);


  //--------------------------------------------------------------------------------------------------------------
  // Main analysis code 
  //==============================================================================================================  
  
  // Create output directory
  gSystem->mkdir(outputDir,kTRUE);
  CPlot::sOutDir = outputDir;  
  
  //
  // Declare MET histograms
  //
  TH1D *hDataMet   = new TH1D("hDataMet","",  NBINS,0,METMAX); hDataMet->Sumw2();
  TH1D *hDataMetm  = new TH1D("hDataMetm","", NBINS,0,METMAX); hDataMetm->Sumw2();  
  TH1D *hDataMetp  = new TH1D("hDataMetp","", NBINS,0,METMAX); hDataMetp->Sumw2();
  TH1D *hWmunuMet  = new TH1D("hWmunuMet","", NBINS,0,METMAX); hWmunuMet->Sumw2();
  TH1D *hWmunuMetp = new TH1D("hWmunuMetp","",NBINS,0,METMAX); hWmunuMetp->Sumw2();
  TH1D *hWmunuMetm = new TH1D("hWmunuMetm","",NBINS,0,METMAX); hWmunuMetm->Sumw2();
  TH1D *hEWKMet    = new TH1D("hEWKMet", "",  NBINS,0,METMAX); hEWKMet->Sumw2();
  TH1D *hEWKMetp   = new TH1D("hEWKMetp", "", NBINS,0,METMAX); hEWKMetp->Sumw2();
  TH1D *hEWKMetm   = new TH1D("hEWKMetm", "", NBINS,0,METMAX); hEWKMetm->Sumw2();

  TH1D *hAntiDataMet   = new TH1D("hAntiDataMet","",  NBINS,0,METMAX); hAntiDataMet->Sumw2();
  TH1D *hAntiDataMetm  = new TH1D("hAntiDataMetm","", NBINS,0,METMAX); hAntiDataMetm->Sumw2();  
  TH1D *hAntiDataMetp  = new TH1D("hAntiDataMetp","", NBINS,0,METMAX); hAntiDataMetp->Sumw2();
  TH1D *hAntiWmunuMet  = new TH1D("hAntiWmunuMet","", NBINS,0,METMAX); hAntiWmunuMet->Sumw2();
  TH1D *hAntiWmunuMetp = new TH1D("hAntiWmunuMetp","",NBINS,0,METMAX); hAntiWmunuMetp->Sumw2();
  TH1D *hAntiWmunuMetm = new TH1D("hAntiWmunuMetm","",NBINS,0,METMAX); hAntiWmunuMetm->Sumw2();
  TH1D *hAntiEWKMet    = new TH1D("hAntiEWKMet", "",  NBINS,0,METMAX); hAntiEWKMet->Sumw2();
  TH1D *hAntiEWKMetp   = new TH1D("hAntiEWKMetp", "", NBINS,0,METMAX); hAntiEWKMetp->Sumw2();
  TH1D *hAntiEWKMetm   = new TH1D("hAntiEWKMetm", "", NBINS,0,METMAX); hAntiEWKMetm->Sumw2();

  //
  // Declare variables to read in ntuple
  //
  UInt_t  runNum, lumiSec, evtNum;
  UInt_t  npv, npu;
  Float_t genVPt, genVPhi;
  Float_t scale1fb;
  Float_t met, metPhi, sumEt, mt, u1, u2;
  Int_t   q;
  LorentzVector *lep=0;
  Float_t pfChIso, pfGamIso, pfNeuIso;
    
  TFile *infile=0;
  TTree *intree=0;

  //
  // Loop over files
  //
  for(UInt_t ifile=0; ifile<fnamev.size(); ifile++) {
    
    // Read input file and get the TTrees
    cout << "Processing " << fnamev[ifile] << "..." << endl;
    infile = new TFile(fnamev[ifile]);	  assert(infile);
    intree = (TTree*)infile->Get("Events"); assert(intree);

    intree->SetBranchAddress("runNum",   &runNum);    // event run number
    intree->SetBranchAddress("lumiSec",  &lumiSec);   // event lumi section
    intree->SetBranchAddress("evtNum",   &evtNum);    // event number
    intree->SetBranchAddress("npv",      &npv);       // number of primary vertices
    intree->SetBranchAddress("npu",      &npu);       // number of in-time PU events (MC)
    intree->SetBranchAddress("genVPt",   &genVPt);    // GEN W boson pT (signal MC)
    intree->SetBranchAddress("genVPhi",  &genVPhi);   // GEN W boson phi (signal MC)   
    intree->SetBranchAddress("scale1fb", &scale1fb);  // event weight per 1/fb (MC)
    intree->SetBranchAddress("met",      &met);       // MET
    intree->SetBranchAddress("metPhi",   &metPhi);    // phi(MET)
    intree->SetBranchAddress("sumEt",    &sumEt);     // Sum ET
    intree->SetBranchAddress("mt",       &mt);        // transverse mass
    intree->SetBranchAddress("u1",       &u1);        // parallel component of recoil
    intree->SetBranchAddress("u2",       &u2);        // perpendicular component of recoil
    intree->SetBranchAddress("q",        &q);	      // lepton charge
    intree->SetBranchAddress("lep",      &lep);       // lepton 4-vector
    intree->SetBranchAddress("pfChIso",  &pfChIso);
    intree->SetBranchAddress("pfGamIso", &pfGamIso);
    intree->SetBranchAddress("pfNeuIso", &pfNeuIso);
  
    //
    // loop over events
    //
    for(UInt_t ientry=0; ientry<intree->GetEntries(); ientry++) {
      intree->GetEntry(ientry);
      
      if(lep->Pt()        < PT_CUT)  continue;	
      if(fabs(lep->Eta()) > ETA_CUT) continue;
      
      if( (typev[ifile]==eAntiData || typev[ifile]==eAntiWmunu || typev[ifile]==eAntiEWK) &&
          (pfChIso+pfGamIso+pfNeuIso)>0.5*(lep->Pt()) ) 
	  continue;
      
      if(typev[ifile]==eData) {
        hDataMet->Fill(met);
	if(q>0) { hDataMetp->Fill(met); } 
	else    { hDataMetm->Fill(met); }
      
      } else if(typev[ifile]==eAntiData) {
        hAntiDataMet->Fill(met);
	if(q>0) { hAntiDataMetp->Fill(met); } 
	else    { hAntiDataMetm->Fill(met); }      
      
      } else {
        Double_t weight = 1;
        weight *= scale1fb*lumi;
	
	if(typev[ifile]==eWmunu) {
          Double_t corrMet=met, corrMetPhi=metPhi;
        
	  // apply recoil corrections to W MC
	  Double_t lepPt = lep->Pt();
	  //Double_t lepPt = gRandom->Gaus(lep->Pt(),0.5);  // (!) uncomment to apply scale/res corrections to MC
	  recoilCorr.Correct(corrMet,corrMetPhi,genVPt,genVPhi,lepPt,lep->Phi(),nsigma,q);
	
          Double_t nnlocorr=1;
          for(Int_t ibin=1; ibin<=hNNLOCorr->GetNbinsX(); ibin++) {
            if(genVPt >= hNNLOCorr->GetBinLowEdge(ibin) &&
               genVPt < (hNNLOCorr->GetBinLowEdge(ibin)+hNNLOCorr->GetBinWidth(ibin)))
              nnlocorr = hNNLOCorr->GetBinContent(ibin);
          }
	  //weight *= nnlocorr;  // (!) uncomment to apply NNLO corrections
	  
          hWmunuMet->Fill(corrMet,weight);
	  if(q>0) { hWmunuMetp->Fill(corrMet,weight); } 
	  else    { hWmunuMetm->Fill(corrMet,weight); }
        }
	if(typev[ifile]==eAntiWmunu) {
          Double_t corrMet=met, corrMetPhi=metPhi;
        
	  // apply recoil corrections to W MC
	  Double_t lepPt = lep->Pt();//gRandom->Gaus(lep->Pt(),0.5);
	  //Double_t lepPt = gRandom->Gaus(lep->Pt(),0.5);  // (!) uncomment to apply scale/res corrections to MC
	  recoilCorr.Correct(corrMet,corrMetPhi,genVPt,genVPhi,lepPt,lep->Phi(),nsigma,q);
          
	  Double_t nnlocorr=1;
          for(Int_t ibin=1; ibin<=hNNLOCorr->GetNbinsX(); ibin++) {
            if(genVPt >= hNNLOCorr->GetBinLowEdge(ibin) &&
               genVPt < (hNNLOCorr->GetBinLowEdge(ibin)+hNNLOCorr->GetBinWidth(ibin)))
              nnlocorr = hNNLOCorr->GetBinContent(ibin);
          }
	  //weight *= nnlocorr;  // (!) uncomment to apply NNLO corrections
          
	  hAntiWmunuMet->Fill(corrMet,weight);
	  if(q>0) { hAntiWmunuMetp->Fill(corrMet,weight); } 
	  else    { hAntiWmunuMetm->Fill(corrMet,weight); }
        }
        if(typev[ifile]==eEWK) {
          hEWKMet->Fill(met,weight);
	  if(q>0) { hEWKMetp->Fill(met,weight); }
	  else    { hEWKMetm->Fill(met,weight); }
        }
        if(typev[ifile]==eAntiEWK) {
          hAntiEWKMet->Fill(met,weight);
	  if(q>0) { hAntiEWKMetp->Fill(met,weight); }
	  else    { hAntiEWKMetm->Fill(met,weight); }
        }
      }
    }
  }  
  delete infile;
  infile=0, intree=0;   
  
  //
  // Declare fit parameters for signal and background yields
  // Note: W signal and EWK+top PDFs are constrained to the ratio described in MC
  //
  RooRealVar nSig("nSig","nSig",0.7*(hDataMet->Integral()),0,hDataMet->Integral());
  RooRealVar nQCD("nQCD","nQCD",0.3*(hDataMet->Integral()),0,hDataMet->Integral());
  RooRealVar cewk("cewk","cewk",0.1,0,5) ;
  cewk.setVal(hEWKMet->Integral()/hWmunuMet->Integral());
  cewk.setConstant(kTRUE);
  RooFormulaVar nEWK("nEWK","nEWK","cewk*nSig",RooArgList(nSig,cewk));
  RooRealVar nAntiSig("nAntiSig","nAntiSig",0.05*(hAntiDataMet->Integral()),0,hAntiDataMet->Integral());
  RooRealVar nAntiQCD("nAntiQCD","nAntiQCD",0.9*(hDataMet->Integral()),0,hDataMet->Integral());
  RooRealVar dewk("dewk","dewk",0.1,0,5) ;
  dewk.setVal(hAntiEWKMet->Integral()/hAntiWmunuMet->Integral());
  dewk.setConstant(kTRUE);
  RooFormulaVar nAntiEWK("nAntiEWK","nAntiEWK","dewk*nAntiSig",RooArgList(nAntiSig,dewk));
  
  RooRealVar nSigp("nSigp","nSigp",0.7*(hDataMetp->Integral()),0,hDataMetp->Integral());
  RooRealVar nQCDp("nQCDp","nQCDp",0.3*(hDataMetp->Integral()),0,hDataMetp->Integral());
  RooRealVar cewkp("cewkp","cewkp",0.1,0,5) ;
  cewkp.setVal(hEWKMetp->Integral()/hWmunuMetp->Integral());
  cewkp.setConstant(kTRUE);
  RooFormulaVar nEWKp("nEWKp","nEWKp","cewkp*nSigp",RooArgList(nSigp,cewkp));
  RooRealVar nAntiSigp("nAntiSigp","nAntiSigp",0.05*(hAntiDataMetp->Integral()),0,hAntiDataMetp->Integral());
  RooRealVar nAntiQCDp("nAntiQCDp","nAntiQCDp",0.9*(hAntiDataMetp->Integral()),0,hAntiDataMetp->Integral());
  RooRealVar dewkp("dewkp","dewkp",0.1,0,5) ;
  dewkp.setVal(hAntiEWKMetp->Integral()/hAntiWmunuMetp->Integral());
  dewkp.setConstant(kTRUE);
  RooFormulaVar nAntiEWKp("nAntiEWKp","nAntiEWKp","dewkp*nAntiSigp",RooArgList(nAntiSigp,dewkp));
  
  RooRealVar nSigm("nSigm","nSigm",0.7*(hDataMetm->Integral()),0,hDataMetm->Integral());
  RooRealVar nQCDm("nQCDm","nQCDm",0.3*(hDataMetm->Integral()),0,hDataMetm->Integral());
  RooRealVar cewkm("cewkm","cewkm",0.1,0,5) ;
  cewkm.setVal(hEWKMetm->Integral()/hWmunuMetm->Integral());
  cewkm.setConstant(kTRUE);
  RooFormulaVar nEWKm("nEWKm","nEWKm","cewkm*nSigm",RooArgList(nSigm,cewkm));  
  RooRealVar nAntiSigm("nAntiSigm","nAntiSigm",0.05*(hAntiDataMetm->Integral()),0,hAntiDataMetm->Integral());
  RooRealVar nAntiQCDm("nAntiQCDm","nAntiQCDm",0.9*(hAntiDataMetm->Integral()),0,hAntiDataMetm->Integral());
  RooRealVar dewkm("dewkm","dewkm",0.1,0,5) ;
  dewkm.setVal(hAntiEWKMetm->Integral()/hAntiWmunuMetm->Integral());
  dewkm.setConstant(kTRUE);
  RooFormulaVar nAntiEWKm("nAntiEWKm","nAntiEWKm","dewkm*nAntiSigm",RooArgList(nAntiSigm,dewkm));

  //
  // Construct PDFs for fitting
  //
  RooRealVar pfmet("pfmet","pfmet",0,METMAX);
  pfmet.setBins(NBINS);
   
  // Signal PDFs
  RooDataHist wmunuMet ("wmunuMET", "wmunuMET", RooArgSet(pfmet),hWmunuMet);  RooHistPdf pdfWm ("wm", "wm", pfmet,wmunuMet, 1);
  RooDataHist wmunuMetp("wmunuMETp","wmunuMETp",RooArgSet(pfmet),hWmunuMetp); RooHistPdf pdfWmp("wmp","wmp",pfmet,wmunuMetp,1);
  RooDataHist wmunuMetm("wmunuMETm","wmunuMETm",RooArgSet(pfmet),hWmunuMetm); RooHistPdf pdfWmm("wmm","wmm",pfmet,wmunuMetm,1); 
  
  // EWK+top PDFs
  RooDataHist ewkMet ("ewkMET", "ewkMET", RooArgSet(pfmet),hEWKMet);  RooHistPdf pdfEWK ("ewk", "ewk", pfmet,ewkMet, 1);
  RooDataHist ewkMetp("ewkMETp","ewkMETp",RooArgSet(pfmet),hEWKMetp); RooHistPdf pdfEWKp("ewkp","ewkp",pfmet,ewkMetp,1); 
  RooDataHist ewkMetm("ewkMETm","ewkMETm",RooArgSet(pfmet),hEWKMetm); RooHistPdf pdfEWKm("ewkm","ewkm",pfmet,ewkMetm,1); 
  
  // QCD Pdfs
  CPepeModel1 qcd("qcd",pfmet);
  CPepeModel1 qcdp("qcdp",pfmet);
  CPepeModel1 qcdm("qcdm",pfmet);
  
  // Signal + Background PDFs
  RooAddPdf pdfMet ("pdfMet", "pdfMet", RooArgList(pdfWm,pdfEWK,*(qcd.model)),   RooArgList(nSig,nEWK,nQCD));  
  RooAddPdf pdfMetp("pdfMetp","pdfMetp",RooArgList(pdfWmp,pdfEWKp,*(qcdp.model)),RooArgList(nSigp,nEWKp,nQCDp));
  RooAddPdf pdfMetm("pdfMetm","pdfMetm",RooArgList(pdfWmm,pdfEWKm,*(qcdm.model)),RooArgList(nSigm,nEWKm,nQCDm));
    
  
  // Anti-Signal PDFs
  RooDataHist awmunuMet ("awmunuMET", "awmunuMET", RooArgSet(pfmet),hAntiWmunuMet);  RooHistPdf apdfWm ("awm", "awm", pfmet,awmunuMet, 1);
  RooDataHist awmunuMetp("awmunuMETp","awmunuMETp",RooArgSet(pfmet),hAntiWmunuMetp); RooHistPdf apdfWmp("awmp","awmp",pfmet,awmunuMetp,1);
  RooDataHist awmunuMetm("awmunuMETm","awmunuMETm",RooArgSet(pfmet),hAntiWmunuMetm); RooHistPdf apdfWmm("awmm","awmm",pfmet,awmunuMetm,1); 
  
  // Anti-EWK+top PDFs
  RooDataHist aewkMet ("aewkMET", "aewkMET", RooArgSet(pfmet),hAntiEWKMet);  RooHistPdf apdfEWK ("aewk", "aewk", pfmet,aewkMet, 1);
  RooDataHist aewkMetp("aewkMETp","aewkMETp",RooArgSet(pfmet),hAntiEWKMetp); RooHistPdf apdfEWKp("aewkp","aewkp",pfmet,aewkMetp,1); 
  RooDataHist aewkMetm("aewkMETm","aewkMETm",RooArgSet(pfmet),hAntiEWKMetm); RooHistPdf apdfEWKm("aewkm","aewkm",pfmet,aewkMetm,1); 
  
  // Anti-QCD Pdfs
  CPepeModel1 aqcd("aqcd",pfmet,qcd.a1);
  CPepeModel1 aqcdp("aqcdp",pfmet,qcdp.a1);
  CPepeModel1 aqcdm("aqcdm",pfmet,qcdm.a1);
  
  // Anti-selection PDFs
  RooAddPdf apdfMet ("apdfMet", "apdfMet", RooArgList(apdfWm,apdfEWK,*(aqcd.model)),   RooArgList(nAntiSig,nAntiEWK,nAntiQCD));  
  RooAddPdf apdfMetp("apdfMetp","apdfMetp",RooArgList(apdfWmp,apdfEWKp,*(aqcdp.model)),RooArgList(nAntiSigp,nAntiEWKp,nAntiQCDp));
  RooAddPdf apdfMetm("apdfMetm","apdfMetm",RooArgList(apdfWmm,apdfEWKm,*(aqcdm.model)),RooArgList(nAntiSigm,nAntiEWKm,nAntiQCDm));
  
  // PDF for simultaneous fit
  RooCategory rooCat("rooCat","rooCat");
  rooCat.defineType("Select");
  rooCat.defineType("Anti");
  
  RooSimultaneous pdfTotal("pdfTotal","pdfTotal",rooCat);
  pdfTotal.addPdf(pdfMet, "Select");
  pdfTotal.addPdf(apdfMet,"Anti");
  
  RooSimultaneous pdfTotalp("pdfTotalp","pdfTotalp",rooCat);
  pdfTotalp.addPdf(pdfMetp, "Select");
  pdfTotalp.addPdf(apdfMetp,"Anti");
  
  RooSimultaneous pdfTotalm("pdfTotalm","pdfTotalm",rooCat);
  pdfTotalm.addPdf(pdfMetm, "Select");
  pdfTotalm.addPdf(apdfMetm,"Anti");
  
  //
  // Perform fits
  //

  RooDataHist dataMet("dataMet", "dataMet", RooArgSet(pfmet), hDataMet);
  RooDataHist antiMet("antiMet", "antiMet", RooArgSet(pfmet), hAntiDataMet);
  RooDataHist dataTotal("dataTotal","dataTotal", RooArgList(pfmet), Index(rooCat),
                        Import("Select", dataMet),
                        Import("Anti",   antiMet));
  RooFitResult *fitRes = pdfTotal.fitTo(dataTotal,Extended(),Minos(kTRUE),Save(kTRUE));
  
  RooDataHist dataMetp("dataMetp", "dataMetp", RooArgSet(pfmet), hDataMetp);
  RooDataHist antiMetp("antiMetp", "antiMetp", RooArgSet(pfmet), hAntiDataMetp);
  RooDataHist dataTotalp("dataTotalp","dataTotalp", RooArgList(pfmet), Index(rooCat),
                         Import("Select", dataMetp),
                         Import("Anti",   antiMetp));
  RooFitResult *fitResp = pdfTotalp.fitTo(dataTotalp,Extended(),Minos(kTRUE),Save(kTRUE));
  
  RooDataHist dataMetm("dataMetm", "dataMetm", RooArgSet(pfmet), hDataMetm);
  RooDataHist antiMetm("antiMetm", "antiMetm", RooArgSet(pfmet), hAntiDataMetm);
  RooDataHist dataTotalm("dataTotalm","dataTotalm", RooArgList(pfmet), Index(rooCat),
                         Import("Select", dataMetm),
                         Import("Anti",   antiMetm));
  RooFitResult *fitResm = pdfTotalm.fitTo(dataTotalm,Extended(),Minos(kTRUE),Save(kTRUE));
    
  //
  // Use histogram version of fitted PDFs to make ratio plots
  // (Will also use PDF histograms later for Chi^2 and KS tests)
  //
  TH1D *hPdfMet = (TH1D*)(pdfMet.createHistogram("hPdfMet", pfmet));
  hPdfMet->Scale((nSig.getVal()+nEWK.getVal()+nQCD.getVal())/hPdfMet->Integral());
  TH1D *hMetDiff = makeDiffHist(hDataMet,hPdfMet,"hMetDiff");
  hMetDiff->SetMarkerStyle(kFullCircle);
  hMetDiff->SetMarkerSize(0.9);
   
  TH1D *hPdfMetp = (TH1D*)(pdfMetp.createHistogram("hPdfMetp", pfmet));
  hPdfMetp->Scale((nSigp.getVal()+nEWKp.getVal()+nQCDp.getVal())/hPdfMetp->Integral());
  TH1D *hMetpDiff = makeDiffHist(hDataMetp,hPdfMetp,"hMetpDiff");
  hMetpDiff->SetMarkerStyle(kFullCircle);
  hMetpDiff->SetMarkerSize(0.9);
    
  TH1D *hPdfMetm = (TH1D*)(pdfMetm.createHistogram("hPdfMetm", pfmet));
  hPdfMetm->Scale((nSigm.getVal()+nEWKm.getVal()+nQCDm.getVal())/hPdfMetm->Integral());
  TH1D *hMetmDiff = makeDiffHist(hDataMetm,hPdfMetm,"hMetmDiff");
  hMetmDiff->SetMarkerStyle(kFullCircle); 
  hMetmDiff->SetMarkerSize(0.9);
   
  TH1D *hPdfAntiMet = (TH1D*)(apdfMet.createHistogram("hPdfAntiMet", pfmet));
  hPdfAntiMet->Scale((nAntiSig.getVal()+nAntiEWK.getVal()+nAntiQCD.getVal())/hPdfAntiMet->Integral());
  TH1D *hAntiMetDiff = makeDiffHist(hAntiDataMet,hPdfAntiMet,"hAntiMetDiff");
  hAntiMetDiff->SetMarkerStyle(kFullCircle);
  hAntiMetDiff->SetMarkerSize(0.9);
   
  TH1D *hPdfAntiMetp = (TH1D*)(apdfMetp.createHistogram("hPdfAntiMetp", pfmet));
  hPdfAntiMetp->Scale((nAntiSigp.getVal()+nAntiEWKp.getVal()+nAntiQCDp.getVal())/hPdfAntiMetp->Integral());
  TH1D *hAntiMetpDiff = makeDiffHist(hAntiDataMetp,hPdfAntiMetp,"hAntiMetpDiff");
  hAntiMetpDiff->SetMarkerStyle(kFullCircle);
  hAntiMetpDiff->SetMarkerSize(0.9);
    
  TH1D *hPdfAntiMetm = (TH1D*)(apdfMetm.createHistogram("hPdfAntiMetm", pfmet));
  hPdfAntiMetm->Scale((nAntiSigm.getVal()+nAntiEWKm.getVal()+nAntiQCDm.getVal())/hPdfAntiMetm->Integral());
  TH1D *hAntiMetmDiff = makeDiffHist(hAntiDataMetm,hPdfAntiMetm,"hAntiMetmDiff");
  hAntiMetmDiff->SetMarkerStyle(kFullCircle); 
  hAntiMetmDiff->SetMarkerSize(0.9);
   
  
  //--------------------------------------------------------------------------------------------------------------
  // Make plots 
  //==============================================================================================================  
  
  TCanvas *c = MakeCanvas("c","c",800,800);
  c->Divide(1,2,0,0);
  c->cd(1)->SetPad(0,0.3,1.0,1.0);
  c->cd(1)->SetTopMargin(0.1);
  c->cd(1)->SetBottomMargin(0.01);
  c->cd(1)->SetLeftMargin(0.15);  
  c->cd(1)->SetRightMargin(0.07);  
  c->cd(1)->SetTickx(1);
  c->cd(1)->SetTicky(1);  
  c->cd(2)->SetPad(0,0,1.0,0.3);
  c->cd(2)->SetTopMargin(0.05);
  c->cd(2)->SetBottomMargin(0.45);
  c->cd(2)->SetLeftMargin(0.15);
  c->cd(2)->SetRightMargin(0.07);
  c->cd(2)->SetTickx(1);
  c->cd(2)->SetTicky(1);
  gStyle->SetTitleOffset(1.100,"Y");
  TGaxis::SetMaxDigits(3);
  
  char ylabel[100];  // string buffer for y-axis label
  
  // label for lumi
  char lumitext[100];
  if(lumi<0.1) sprintf(lumitext,"%.1f pb^{-1}  at  #sqrt{s} = 8 TeV",lumi*1000.);
  else         sprintf(lumitext,"%.2f fb^{-1}  at  #sqrt{s} = 8 TeV",lumi);
  
  // plot colors
  Int_t linecolorW   = kOrange-3;
  Int_t fillcolorW   = kOrange-2;
  Int_t linecolorEWK = kOrange+10;
  Int_t fillcolorEWK = kOrange+7;
  Int_t linecolorQCD = kViolet+2;
  Int_t fillcolorQCD = kViolet-5;
  Int_t ratioColor   = kGray+2;
  
  //
  // Dummy histograms for TLegend
  // (I can't figure out how to properly pass RooFit objects...)
  //
  TH1D *hDummyData = new TH1D("hDummyData","",0,0,10);
  hDummyData->SetMarkerStyle(kFullCircle);
  hDummyData->SetMarkerSize(0.9);
  
  TH1D *hDummyW = new TH1D("hDummyW","",0,0,10);
  hDummyW->SetLineColor(linecolorW);
  hDummyW->SetFillColor(fillcolorW);
  hDummyW->SetFillStyle(1001);
  
  TH1D *hDummyEWK = new TH1D("hDummyEWK","",0,0,10);
  hDummyEWK->SetLineColor(linecolorEWK);
  hDummyEWK->SetFillColor(fillcolorEWK);
  hDummyEWK->SetFillStyle(1001);
  
  TH1D *hDummyQCD = new TH1D("hDummyQCD","",0,0,10);
  hDummyQCD->SetLineColor(linecolorQCD);
  hDummyQCD->SetFillColor(fillcolorQCD);
  hDummyQCD->SetFillStyle(1001);
   
  //
  // W MET plot
  //
  RooPlot *wmframe = pfmet.frame(Bins(NBINS)); 
  wmframe->GetYaxis()->SetNdivisions(505);
  dataMet.plotOn(wmframe,MarkerStyle(kFullCircle),MarkerSize(0.9),DrawOption("ZP"));
  pdfMet.plotOn(wmframe,FillColor(fillcolorW),DrawOption("F"));
  pdfMet.plotOn(wmframe,LineColor(linecolorW));
  pdfMet.plotOn(wmframe,Components(RooArgSet(pdfEWK,*(qcd.model))),FillColor(fillcolorEWK),DrawOption("F"));
  pdfMet.plotOn(wmframe,Components(RooArgSet(pdfEWK,*(qcd.model))),LineColor(linecolorEWK));
  pdfMet.plotOn(wmframe,Components(RooArgSet(*(qcd.model))),FillColor(fillcolorQCD),DrawOption("F"));
  pdfMet.plotOn(wmframe,Components(RooArgSet(*(qcd.model))),LineColor(linecolorQCD));
  pdfMet.plotOn(wmframe,Components(RooArgSet(pdfWm)),LineColor(linecolorW),LineStyle(2));
  dataMet.plotOn(wmframe,MarkerStyle(kFullCircle),MarkerSize(0.9),DrawOption("ZP"));  
  
  sprintf(ylabel,"Events / %.1f GeV",hDataMet->GetBinWidth(1));
  CPlot plotMet("fitmet",wmframe,"","",ylabel);
  plotMet.SetLegend(0.68,0.57,0.93,0.77);
  plotMet.GetLegend()->AddEntry(hDummyData,"data","PL");
  plotMet.GetLegend()->AddEntry(hDummyW,"W#rightarrow#mu#nu","F");
  plotMet.GetLegend()->AddEntry(hDummyEWK,"EWK+t#bar{t}","F");
  plotMet.GetLegend()->AddEntry(hDummyQCD,"QCD","F");
  plotMet.AddTextBox(lumitext,0.55,0.80,0.90,0.86,0);
  plotMet.AddTextBox("CMS Preliminary",0.63,0.92,0.95,0.99,0);
  plotMet.SetYRange(0.1,1.1*(hDataMet->GetMaximum()));
  plotMet.Draw(c,kFALSE,format,1);

  CPlot plotMetDiff("fitmet","","#slash{E}_{T} [GeV]","#chi");
  plotMetDiff.AddHist1D(hMetDiff,"EX0",ratioColor);
  plotMetDiff.SetYRange(-8,8);
  plotMetDiff.AddLine(0, 0,METMAX, 0,kBlack,1);
  plotMetDiff.AddLine(0, 5,METMAX, 5,kBlack,3);
  plotMetDiff.AddLine(0,-5,METMAX,-5,kBlack,3);
  plotMetDiff.Draw(c,kTRUE,format,2);
  
  plotMet.SetName("fitmetlog");
  plotMet.SetLogy();
  plotMet.SetYRange(1e-3*(hDataMet->GetMaximum()),10*(hDataMet->GetMaximum()));
  plotMet.Draw(c,kTRUE,format,1);
    
  RooPlot *awmframe = pfmet.frame(Bins(NBINS));    
  antiMet.plotOn(awmframe,MarkerStyle(kFullCircle),MarkerSize(0.9),DrawOption("ZP"));
  apdfMet.plotOn(awmframe,FillColor(fillcolorW),DrawOption("F"));
  apdfMet.plotOn(awmframe,LineColor(linecolorW));
  apdfMet.plotOn(awmframe,Components(RooArgSet(apdfEWK,*(aqcd.model))),FillColor(fillcolorEWK),DrawOption("F"));
  apdfMet.plotOn(awmframe,Components(RooArgSet(apdfEWK,*(aqcd.model))),LineColor(linecolorEWK));
  apdfMet.plotOn(awmframe,Components(RooArgSet(*(aqcd.model))),FillColor(fillcolorQCD),DrawOption("F"));
  apdfMet.plotOn(awmframe,Components(RooArgSet(*(aqcd.model))),LineColor(linecolorQCD));
  apdfMet.plotOn(awmframe,Components(RooArgSet(apdfWm)),LineColor(linecolorW),LineStyle(2));
  antiMet.plotOn(awmframe,MarkerStyle(kFullCircle),MarkerSize(0.9),DrawOption("ZP"));  
  
  sprintf(ylabel,"Events / %.1f GeV",hAntiDataMet->GetBinWidth(1));
  CPlot plotAntiMet("fitantimet",awmframe,"","",ylabel);
  plotAntiMet.SetLegend(0.68,0.57,0.93,0.77);
  plotAntiMet.GetLegend()->AddEntry(hDummyData,"data","PL");
  plotAntiMet.GetLegend()->AddEntry(hDummyW,"W#rightarrow#mu#nu","F");
  plotAntiMet.GetLegend()->AddEntry(hDummyEWK,"EWK+t#bar{t}","F");
  plotAntiMet.GetLegend()->AddEntry(hDummyQCD,"QCD","F");
  plotAntiMet.AddTextBox(lumitext,0.55,0.80,0.90,0.86,0);
  plotAntiMet.AddTextBox("CMS Preliminary",0.63,0.92,0.95,0.99,0);
  plotAntiMet.SetYRange(0.1,1.1*(hAntiDataMet->GetMaximum())); 
  plotAntiMet.Draw(c,kFALSE,format,1);

  CPlot plotAntiMetDiff("fitantimet","","#slash{E}_{T} [GeV]","#chi");
  plotAntiMetDiff.AddHist1D(hMetDiff,"EX0",ratioColor);
  plotAntiMetDiff.SetYRange(-8,8);
  plotAntiMetDiff.AddLine(0, 0,METMAX, 0,kBlack,1);
  plotAntiMetDiff.AddLine(0, 5,METMAX, 5,kBlack,3);
  plotAntiMetDiff.AddLine(0,-5,METMAX,-5,kBlack,3);
  plotAntiMetDiff.Draw(c,kTRUE,format,2);
  
  plotAntiMet.SetName("fitantimetlog");
  plotAntiMet.SetLogy();
  plotAntiMet.SetYRange(1e-3*(hAntiDataMet->GetMaximum()),10*(hAntiDataMet->GetMaximum()));
  plotAntiMet.Draw(c,kTRUE,format,1);
    
  //
  // W+ MET plot
  //
  RooPlot *wmpframe = pfmet.frame(Bins(NBINS));
  wmpframe->GetYaxis()->SetNdivisions(505);
  dataMetp.plotOn(wmpframe,MarkerStyle(kFullCircle),MarkerSize(0.9),DrawOption("ZP"));
  pdfMetp.plotOn(wmpframe,FillColor(fillcolorW),DrawOption("F"));
  pdfMetp.plotOn(wmpframe,LineColor(linecolorW));
  pdfMetp.plotOn(wmpframe,Components(RooArgSet(pdfEWKp,*(qcdp.model))),FillColor(fillcolorEWK),DrawOption("F"));
  pdfMetp.plotOn(wmpframe,Components(RooArgSet(pdfEWKp,*(qcdp.model))),LineColor(linecolorEWK));
  pdfMetp.plotOn(wmpframe,Components(RooArgSet(*(qcdp.model))),FillColor(fillcolorQCD),DrawOption("F"));
  pdfMetp.plotOn(wmpframe,Components(RooArgSet(*(qcdp.model))),LineColor(linecolorQCD));
  pdfMetp.plotOn(wmpframe,Components(RooArgSet(pdfWmp)),LineColor(linecolorW),LineStyle(2));
  dataMetp.plotOn(wmpframe,MarkerStyle(kFullCircle),MarkerSize(0.9),DrawOption("ZP"));  
  
  sprintf(ylabel,"Events / %.1f GeV",hDataMetp->GetBinWidth(1));
  CPlot plotMetp("fitmetp",wmpframe,"","",ylabel);
  plotMetp.SetLegend(0.68,0.57,0.93,0.77);
  plotMetp.GetLegend()->AddEntry(hDummyData,"data","PL");
  plotMetp.GetLegend()->AddEntry(hDummyW,"W^{+}#rightarrow#mu^{+}#nu","F");
  plotMetp.GetLegend()->AddEntry(hDummyEWK,"EWK+t#bar{t}","F");
  plotMetp.GetLegend()->AddEntry(hDummyQCD,"QCD","F");
  plotMetp.AddTextBox(lumitext,0.55,0.80,0.90,0.86,0);
  plotMetp.AddTextBox("CMS Preliminary",0.63,0.92,0.95,0.99,0);
//  plotMetp.SetYRange(0.1,1.1*(hDataMetp->GetMaximum()));
plotMetp.SetYRange(0.1,4100);
  plotMetp.Draw(c,kFALSE,format,1);

  CPlot plotMetpDiff("fitmetp","","#slash{E}_{T} [GeV]","#chi");
  plotMetpDiff.AddHist1D(hMetpDiff,"EX0",ratioColor);
  plotMetpDiff.SetYRange(-8,8);
  plotMetpDiff.AddLine(0, 0,METMAX, 0,kBlack,1);
  plotMetpDiff.AddLine(0, 5,METMAX, 5,kBlack,3);
  plotMetpDiff.AddLine(0,-5,METMAX,-5,kBlack,3);
  plotMetpDiff.Draw(c,kTRUE,format,2);
  
  plotMetp.SetName("fitmetplog");
  plotMetp.SetLogy();
  plotMetp.SetYRange(1e-3*(hDataMetp->GetMaximum()),10*(hDataMetp->GetMaximum()));
  plotMetp.Draw(c,kTRUE,format,1);

  RooPlot *awmpframe = pfmet.frame(Bins(NBINS));    
  antiMetp.plotOn(awmpframe,MarkerStyle(kFullCircle),MarkerSize(0.9),DrawOption("ZP"));
  apdfMetp.plotOn(awmpframe,FillColor(fillcolorW),DrawOption("F"));
  apdfMetp.plotOn(awmpframe,LineColor(linecolorW));
  apdfMetp.plotOn(awmpframe,Components(RooArgSet(apdfEWKp,*(aqcdp.model))),FillColor(fillcolorEWK),DrawOption("F"));
  apdfMetp.plotOn(awmpframe,Components(RooArgSet(apdfEWKp,*(aqcdp.model))),LineColor(linecolorEWK));
  apdfMetp.plotOn(awmpframe,Components(RooArgSet(*(aqcdp.model))),FillColor(fillcolorQCD),DrawOption("F"));
  apdfMetp.plotOn(awmpframe,Components(RooArgSet(*(aqcdp.model))),LineColor(linecolorQCD));
  apdfMetp.plotOn(awmpframe,Components(RooArgSet(apdfWmp)),LineColor(linecolorW),LineStyle(2));
  antiMetp.plotOn(awmpframe,MarkerStyle(kFullCircle),MarkerSize(0.9),DrawOption("ZP"));  
  
  sprintf(ylabel,"Events / %.1f GeV",hAntiDataMetp->GetBinWidth(1));
  CPlot plotAntiMetp("fitantimetp",awmpframe,"","",ylabel);
  plotAntiMetp.SetLegend(0.68,0.57,0.93,0.77);
  plotAntiMetp.GetLegend()->AddEntry(hDummyData,"data","PL");
  plotAntiMetp.GetLegend()->AddEntry(hDummyW,"W^{+}#rightarrow#mu^{+}#nu","F");
  plotAntiMetp.GetLegend()->AddEntry(hDummyEWK,"EWK+t#bar{t}","F");
  plotAntiMetp.GetLegend()->AddEntry(hDummyQCD,"QCD","F");
  plotAntiMetp.AddTextBox(lumitext,0.55,0.80,0.90,0.86,0);
  plotAntiMetp.AddTextBox("CMS Preliminary",0.63,0.92,0.95,0.99,0);
//  plotAntiMetp.SetYRange(0.1,1.1*(hAntiDataMetp->GetMaximum()));
plotAntiMetp.SetYRange(0.1,1500);
  plotAntiMetp.Draw(c,kFALSE,format,1);

  CPlot plotAntiMetpDiff("fitantimetp","","#slash{E}_{T} [GeV]","#chi");
  plotAntiMetpDiff.AddHist1D(hAntiMetpDiff,"EX0",ratioColor);
  plotAntiMetpDiff.SetYRange(-8,8);
  plotAntiMetpDiff.AddLine(0, 0,METMAX, 0,kBlack,1);
  plotAntiMetpDiff.AddLine(0, 5,METMAX, 5,kBlack,3);
  plotAntiMetpDiff.AddLine(0,-5,METMAX,-5,kBlack,3);
  plotAntiMetpDiff.Draw(c,kTRUE,format,2);
  
  plotAntiMetp.SetName("fitantimetplog");
  plotAntiMetp.SetLogy();
  plotAntiMetp.SetYRange(1e-3*(hAntiDataMetp->GetMaximum()),10*(hAntiDataMetp->GetMaximum()));
  plotAntiMetp.Draw(c,kTRUE,format,1);
  
  //
  // W- MET plot
  //
  RooPlot *wmmframe = pfmet.frame(Bins(NBINS)); 
  wmmframe->GetYaxis()->SetNdivisions(505);
  dataMetm.plotOn(wmmframe,MarkerStyle(kFullCircle),MarkerSize(0.9),DrawOption("ZP"));
  pdfMetm.plotOn(wmmframe,FillColor(fillcolorW),DrawOption("F"));
  pdfMetm.plotOn(wmmframe,LineColor(linecolorW));
  pdfMetm.plotOn(wmmframe,Components(RooArgSet(pdfEWKm,*(qcdm.model))),FillColor(fillcolorEWK),DrawOption("F"));
  pdfMetm.plotOn(wmmframe,Components(RooArgSet(pdfEWKm,*(qcdm.model))),LineColor(linecolorEWK));
  pdfMetm.plotOn(wmmframe,Components(RooArgSet(*(qcdm.model))),FillColor(fillcolorQCD),DrawOption("F"));
  pdfMetm.plotOn(wmmframe,Components(RooArgSet(*(qcdm.model))),LineColor(linecolorQCD));
  pdfMetm.plotOn(wmmframe,Components(RooArgSet(pdfWmm)),LineColor(linecolorW),LineStyle(2));
  dataMetm.plotOn(wmmframe,MarkerStyle(kFullCircle),MarkerSize(0.9),DrawOption("ZP"));
  
  sprintf(ylabel,"Events / %.1f GeV",hDataMetm->GetBinWidth(1));
  CPlot plotMetm("fitmetm",wmmframe,"","",ylabel);
  plotMetm.SetLegend(0.68,0.57,0.93,0.77);
  plotMetm.GetLegend()->AddEntry(hDummyData,"data","PL");
  plotMetm.GetLegend()->AddEntry(hDummyW,"W^{-}#rightarrow#mu^{-}#bar{#nu}","F");
  plotMetm.GetLegend()->AddEntry(hDummyEWK,"EWK+t#bar{t}","F");
  plotMetm.GetLegend()->AddEntry(hDummyQCD,"QCD","F");
  plotMetm.AddTextBox(lumitext,0.55,0.80,0.90,0.86,0);
  plotMetm.AddTextBox("CMS Preliminary",0.63,0.92,0.95,0.99,0);
//  plotMetm.SetYRange(0.1,1.1*(hDataMetm->GetMaximum()));
plotMetm.SetYRange(0.1,4100);
  plotMetm.Draw(c,kFALSE,format,1);

  CPlot plotMetmDiff("fitmetm","","#slash{E}_{T} [GeV]","#chi");
  plotMetmDiff.AddHist1D(hMetmDiff,"EX0",ratioColor);
  plotMetmDiff.SetYRange(-8,8);
  plotMetmDiff.AddLine(0, 0,METMAX, 0,kBlack,1);
  plotMetmDiff.AddLine(0, 5,METMAX, 5,kBlack,3);
  plotMetmDiff.AddLine(0,-5,METMAX,-5,kBlack,3);
  plotMetmDiff.Draw(c,kTRUE,format,2);
  
  plotMetm.SetName("fitmetmlog");
  plotMetm.SetLogy();
  plotMetm.SetYRange(1e-3*(hDataMetm->GetMaximum()),10*(hDataMetm->GetMaximum()));
  plotMetm.Draw(c,kTRUE,format,1);

  RooPlot *awmmframe = pfmet.frame(Bins(NBINS)); 
  antiMetm.plotOn(awmmframe,MarkerStyle(kFullCircle),MarkerSize(0.9),DrawOption("ZP"));
  apdfMetm.plotOn(awmmframe,FillColor(fillcolorW),DrawOption("F"));
  apdfMetm.plotOn(awmmframe,LineColor(linecolorW));
  apdfMetm.plotOn(awmmframe,Components(RooArgSet(apdfEWKm,*(aqcdm.model))),FillColor(fillcolorEWK),DrawOption("F"));
  apdfMetm.plotOn(awmmframe,Components(RooArgSet(apdfEWKm,*(aqcdm.model))),LineColor(linecolorEWK));
  apdfMetm.plotOn(awmmframe,Components(RooArgSet(*(aqcdm.model))),FillColor(fillcolorQCD),DrawOption("F"));
  apdfMetm.plotOn(awmmframe,Components(RooArgSet(*(aqcdm.model))),LineColor(linecolorQCD));
  apdfMetm.plotOn(awmmframe,Components(RooArgSet(apdfWmm)),LineColor(linecolorW),LineStyle(2));
  antiMetm.plotOn(awmmframe,MarkerStyle(kFullCircle),MarkerSize(0.9),DrawOption("ZP"));
  
  sprintf(ylabel,"Events / %.1f GeV",hDataMetm->GetBinWidth(1));
  CPlot plotAntiMetm("fitantimetm",awmmframe,"","",ylabel);
  plotAntiMetm.SetLegend(0.68,0.57,0.93,0.77);
  plotAntiMetm.GetLegend()->AddEntry(hDummyData,"data","PL");
  plotAntiMetm.GetLegend()->AddEntry(hDummyW,"W^{-}#rightarrow#mu^{-}#bar{#nu}","F");
  plotAntiMetm.GetLegend()->AddEntry(hDummyEWK,"EWK+t#bar{t}","F");
  plotAntiMetm.GetLegend()->AddEntry(hDummyQCD,"QCD","F");
  plotAntiMetm.AddTextBox(lumitext,0.55,0.80,0.90,0.86,0);
  plotAntiMetm.AddTextBox("CMS Preliminary",0.63,0.92,0.95,0.99,0);
//  plotAntiMetm.SetYRange(0.1,1.1*(hAntiDataMetm->GetMaximum()));
plotAntiMetm.SetYRange(0.1,1500);
  plotAntiMetm.Draw(c,kFALSE,format,1);

  CPlot plotAntiMetmDiff("fitantimetm","","#slash{E}_{T} [GeV]","#chi");
  plotAntiMetmDiff.AddHist1D(hAntiMetmDiff,"EX0",ratioColor);
  plotAntiMetmDiff.SetYRange(-8,8);
  plotAntiMetmDiff.AddLine(0, 0,METMAX, 0,kBlack,1);
  plotAntiMetmDiff.AddLine(0, 5,METMAX, 5,kBlack,3);
  plotAntiMetmDiff.AddLine(0,-5,METMAX,-5,kBlack,3);
  plotAntiMetmDiff.Draw(c,kTRUE,format,2);
  
  plotAntiMetm.SetName("fitantimetmlog");
  plotAntiMetm.SetLogy();
  plotAntiMetm.SetYRange(1e-3*(hAntiDataMetm->GetMaximum()),10*(hAntiDataMetm->GetMaximum()));
  plotAntiMetm.Draw(c,kTRUE,format,1);

    
  //--------------------------------------------------------------------------------------------------------------
  // Output
  //==============================================================================================================
   
  cout << "*" << endl;
  cout << "* SUMMARY" << endl;
  cout << "*--------------------------------------------------" << endl;  
  
  //
  // Write fit results
  //
  ofstream txtfile;
  char txtfname[100];    
  
  ios_base::fmtflags flags;
  
  Double_t chi2prob, chi2ndf;
  Double_t ksprob, ksprobpe;
  
  chi2prob = hDataMet->Chi2Test(hPdfMet,"PUW");
  chi2ndf  = hDataMet->Chi2Test(hPdfMet,"CHI2/NDFUW");
  ksprob   = hDataMet->KolmogorovTest(hPdfMet);
  ksprobpe = hDataMet->KolmogorovTest(hPdfMet,"DX");
  sprintf(txtfname,"%s/fitresWm.txt",CPlot::sOutDir.Data());
  txtfile.open(txtfname);
  assert(txtfile.is_open());
  
  flags = txtfile.flags();
  txtfile << setprecision(10);
  txtfile << " *** Yields *** " << endl;
  txtfile << "Selected: " << hDataMet->Integral() << endl;
  txtfile << "  Signal: " << nSig.getVal() << " +/- " << nSig.getPropagatedError(*fitRes) << endl;
  txtfile << "     QCD: " << nQCD.getVal() << " +/- " << nQCD.getPropagatedError(*fitRes) << endl;
  txtfile << "   Other: " << nEWK.getVal() << " +/- " << nEWK.getPropagatedError(*fitRes) << endl;
  txtfile << endl;
  txtfile.flags(flags);
  
  fitRes->printStream(txtfile,RooPrintable::kValue,RooPrintable::kVerbose);
  txtfile << endl;
  printCorrelations(txtfile, fitRes);
  txtfile << endl;
  printChi2AndKSResults(txtfile, chi2prob, chi2ndf, ksprob, ksprobpe);
  txtfile.close();
  
  chi2prob = hDataMetp->Chi2Test(hPdfMetp,"PUW");
  chi2ndf  = hDataMetp->Chi2Test(hPdfMetp,"CHI2/NDFUW");
  ksprob   = hDataMetp->KolmogorovTest(hPdfMetp);
  ksprobpe = hDataMetp->KolmogorovTest(hPdfMetp,"DX");  
  sprintf(txtfname,"%s/fitresWmp.txt",CPlot::sOutDir.Data());
  txtfile.open(txtfname);
  assert(txtfile.is_open());
  
  flags = txtfile.flags();
  txtfile << setprecision(10);
  txtfile << " *** Yields *** " << endl;
  txtfile << "Selected: " << hDataMetp->Integral() << endl;
  txtfile << "  Signal: " << nSigp.getVal() << " +/- " << nSigp.getPropagatedError(*fitResp) << endl;
  txtfile << "     QCD: " << nQCDp.getVal() << " +/- " << nQCDp.getPropagatedError(*fitResp) << endl;
  txtfile << "   Other: " << nEWKp.getVal() << " +/- " << nEWKp.getPropagatedError(*fitResp) << endl;
  txtfile << endl; 
  txtfile.flags(flags);
  
  fitResp->printStream(txtfile,RooPrintable::kValue,RooPrintable::kVerbose);
  txtfile << endl;
  printCorrelations(txtfile, fitResp);
  txtfile << endl;
  printChi2AndKSResults(txtfile, chi2prob, chi2ndf, ksprob, ksprobpe);
  txtfile.close();

  chi2prob = hDataMetm->Chi2Test(hPdfMetm,"PUW");
  chi2ndf  = hDataMetm->Chi2Test(hPdfMetm,"CHI2/NDFUW");
  ksprob   = hDataMetm->KolmogorovTest(hPdfMetm);
  ksprobpe = hDataMetm->KolmogorovTest(hPdfMetm,"DX");  
  sprintf(txtfname,"%s/fitresWmm.txt",CPlot::sOutDir.Data());
  txtfile.open(txtfname);
  assert(txtfile.is_open());
  
  flags = txtfile.flags();
  txtfile << setprecision(10);
  txtfile << " *** Yields *** " << endl;
  txtfile << "Selected: " << hDataMetm->Integral() << endl;
  txtfile << "  Signal: " << nSigm.getVal() << " +/- " << nSigm.getPropagatedError(*fitResm) << endl;
  txtfile << "     QCD: " << nQCDm.getVal() << " +/- " << nQCDm.getPropagatedError(*fitResm) << endl;
  txtfile << "   Other: " << nEWKm.getVal() << " +/- " << nEWKm.getPropagatedError(*fitResm) << endl;
  txtfile << endl;
  txtfile.flags(flags);
  
  fitResm->printStream(txtfile,RooPrintable::kValue,RooPrintable::kVerbose);
  txtfile << endl;
  printCorrelations(txtfile, fitResm);
  txtfile << endl;
  printChi2AndKSResults(txtfile, chi2prob, chi2ndf, ksprob, ksprobpe);
  txtfile.close();

  makeHTML(outputDir);
  
  cout << endl;
  cout << "  <> Output saved in " << outputDir << "/" << endl;    
  cout << endl;     
  
  gBenchmark->Show("fitWm");
}
Esempio n. 29
0
void plottingmacro_IVF()
{


  double fa = 0.46502;
  double fb = 0.53498;
  bool debug_ = true;

  //  std::string path("Nov10thFall11Plots/");
  //  std::string path("Nov10Fall1160MTopSlimPlots/");
  std::string path("Nov10Fall1160MTopIVFPlots_b/");

  if(debug_)
    std::cout << "Init the style form setTDRStyle" << std::endl;
  setTDRStyle();
  gStyle->SetErrorX(0.5);
  gROOT->ForceStyle();
  initOptions();
  

  if(debug_)
    std::cout << "Init the sample" << std::endl;
  //  std::vector<Sample> s = Nov10thDiJetPtUpdatedSlimHistos();
  //std::vector<Sample> s = Nov10Fall1160MTopSlimHistos();
  std::vector<Sample> s = Nov10Fall1160MTopIVFHistos();

  Sample data(1,"fake data","S1.root",0,true,1000);

  if(debug_)
    std::cout << "Init the data sample" << std::endl;
  for(size_t i=0;i< s.size();i++) if(s[i].data) {data=s[i];break;}

  if(debug_)
    std::cout << "Ls data sample" << std::endl;
  data.file()->ls(); 

  if(debug_)
    std::cout << "Init the mc sample" << std::endl;
  for(size_t i=0;i< s.size();i++) s[i].dump(1,fa,fb);

  std::vector<std::string> names;

  if(debug_)
    std::cout << "Get List of Keys" << std::endl;
  TList * subs = data.file()->GetListOfKeys();
  for(size_t i=0;i< subs->GetSize();i++)
    {
      TString nn = subs->At(i)->GetName();
      if( nn.Contains(TRegexp("Count*")) )
	continue;
      if(debug_)
	std::cout << "Get List of Keys in subdirs" << std::endl;
      TList * objs = ((TDirectoryFile *)data.file()->Get(subs->At(i)->GetName()))->GetListOfKeys();
      for(size_t j=0;j< objs->GetSize();j++)
	{
	  if(debug_)
	    std::cout << "Name = " << subs->At(i)->GetName()+std::string("/")  + objs->At(j)->GetName() << std::endl;
	  names.push_back(subs->At(i)->GetName()+std::string("/")  + objs->At(j)->GetName());
	  //      std::cout << subs->At(i)->GetName() << "/"  << objs->At(j)->GetName() << std::endl;
	  //TODO: select plots via regexp
	}
    }


  if(debug_)
    std::cout << "Starting plotting" << std::endl;

  std::string process;

  for(size_t i = 0 ; i < names.size() ; i++) 
    {
      
      std::map<std::string,TH1F *> grouped;
      TString n=names[i];
      //      if(!n.Contains(TRegexp("VlightRegionHZee/HiggsPtVlightRegionHZee"))) continue;
      //      if(!n.Contains(TRegexp("VlightRegionHZee/ZPtVlightRegionHZee"))) continue;
      //      if(!n.Contains(TRegexp("VlightRegionHZee"))) continue;
      //      if(!n.Contains(TRegexp("ZSVRegionZmmSV"))) continue;
      //      if(!n.Contains(TRegexp("ZSVRegionZeeSV"))) continue;
      //      if(!n.Contains(TRegexp("ZSVRegionZcombSV"))) continue;
      //      if(!n.Contains(TRegexp("ZSVPureRegionZcombSV"))) continue;
      //      if(!n.Contains(TRegexp("ZSVTTbarPureRegionZcombSV"))) continue;
      if(!n.Contains(TRegexp("TTbarRegionZeeSVJets"))) continue;

      if(n.Contains(TRegexp("RegionHZcomb")))
	process = "Z(l^{+}l^{-})H(b#bar{b})";
      if(n.Contains(TRegexp("RegionHZmm")))
	process = "Z(#mu^{+}#mu^{-})H(b#bar{b})";
      if(n.Contains(TRegexp("RegionHZee")))
	process = "Z(e^{+}e^{-})H(b#bar{b})";

      if(debug_)
	std::cout << "Creating the Canvas" << std::endl;

      TCanvas *c = new TCanvas();
      c->SetLogy(false);
      c->SetTitle(names[i].c_str());

      if(debug_)
	std::cout << "Creating histograms" << std::endl;
  
      TH1F *hd = ((TH1F*)data.file()->Get(names[i].c_str()));
      hd->Sumw2();
      Options o=options[names[i]];
      //      hd->Rebin(o.rebin);
      hd->SetMarkerStyle(20);
      hd->GetXaxis()->SetLabelOffset(99);
      hd->SetYTitle(o.yaxis.c_str());
      double nbin = hd->GetNbinsX();
      double min_bin = hd->GetXaxis()->GetXmin();
      double max_bin = hd->GetXaxis()->GetXmax();
      TH1F *hmc = new TH1F("hmc","hmc", nbin, min_bin, max_bin);
      hmc->SetFillColor(kWhite);
      hmc->Sumw2();
      //      hmc->Rebin(o.rebin);

      if(debug_)
	std::cout << "Creating the THStack and Legend" << std::endl;
      THStack * sta = new THStack("sta",hd->GetTitle());
      TLegend * l = new TLegend(o.legendx1,o.legendy1,o.legendx2,o.legendy2); //0.7,0.1,0.9,0.6);
      l->SetFillColor(kWhite);
      l->SetBorderSize(0);
      l->SetTextFont(62);
      l->SetTextSize(0.03);
      if(debug_)
	std::cout << "Adding data to the legend" << std::endl;  
      l->AddEntry(hd, "Data","P");
      if(debug_)
	std::cout << "Adding MC to the THStack" << std::endl;  

      //with the proper trigger eff
      //      double SF[] = {1.01,1.03,1.00};
      //      double SF[] = {1.03,1.054,1.032};
      double SF[] = {1.0,1.0,1.0};

      if(debug_){
	for(int i = 0; i< 3; ++i)
	  std::cout << "SF [" << i << "] = " << SF[i] << std::endl;
      }

      double mcIntegral=0;
      for(size_t j=0;j< s.size() ;j++) 
	{ 
	  if(!s[j].data) 
	    {
	      if(debug_)
		std::cout << "Creating TH1F from file " << s[j].name << std::endl;  
	      TH1F * h = ((TH1F*)s[j].file()->Get(names[i].c_str()));
	      h->Sumw2();
	      if(debug_){
		std::cout << "TH1F created from file " << s[j].name << std::endl;  
		std::cout << "Scaling : " << s[j].scale(data.lumi(),fa,fb) << std::endl;  
		std::cout << "Scaling with SF : " << s[j].scale(data.lumi(),fa,fb,SF) << std::endl;  
		std::cout << "Histo integral before scaling = " << h->Integral() << std::endl;
	      }
	      h->Scale(s[j].scale(data.lumi(),fa,fb,SF));
	      if(debug_){
		std::cout << "Histo integral after scaling = " << h->Integral() << std::endl;
		std::cout << "Managing style... " << std::endl;  
	      }
	      h->SetLineWidth(1.);
	      h->SetFillColor(s[j].color);
	      h->SetLineColor(s[j].color);
	      //	      h->Rebin(options[names[i]].rebin);
	      if(debug_)
		std::cout << "Cloning and update legend " << std::endl;  
	      if(grouped.find(s[j].name) == grouped.end()){
		l->AddEntry(h,s[j].name.c_str(),"F");
	      }
	      std::cout << "Sample : " << s[j].name << " - Integral for plot " << names[i] << " = " << h->Integral(-10000,10000) << std::endl;
	      mcIntegral += h->Integral();
	      sta->Add(h);
	      hmc->Add(h);	      
	      //TO FIX grouped map
	      // sovrascrive histo con lo stesso nome tipo VV o ST etc...
	      grouped[s[j].name]=(TH1F *)h->Clone(("_"+names[i]).c_str());
	    }
	}

      if(debug_){
	std::cout << "Data total = " << hd->Integral() << std::endl;
	std::cout << "MC = " << mcIntegral << std::endl;
	std::cout << "Data/MC = " << hd->Integral()/mcIntegral << std::endl;
      }

      TPad * TopPad = new TPad("TopPad","Top Pad",0.,0.3,1.,1. ) ;
      TPad * BtmPad = new TPad("BtmPad","Bottom Pad",0.,0.,1.,0.313 ) ;
      TopPad->SetBottomMargin(0.02);
      BtmPad->SetTopMargin(0.0);
      BtmPad->SetFillStyle(4000);
      TopPad->SetFillStyle(4000);
      BtmPad->SetFillColor(0);
      BtmPad->SetBottomMargin(0.35);
      TopPad->Draw() ;
      BtmPad->Draw() ;
      std::cout << "hd maximum = " << hd->GetMaximum() << "  sta maximum = " << sta->GetMaximum() << std::endl;
      double maxY;
      if(hd->GetMaximum() > sta->GetMaximum()) maxY = (hd->GetMaximum())*1.5;
      else maxY = (sta->GetMaximum())*1.5;
      TopPad->cd();
      hd->Draw("E1X0");
      sta->Draw("sameHIST");
      hmc->Draw("sameE2");
      hmc->SetFillColor(2);
      hmc->SetMarkerSize(0);
      hmc->SetFillStyle(3013);
      hd->Draw("E1X0same");
      l->Draw("same");
      std::cout << "Set Maximum to = " << maxY << std::endl;
      hd->GetYaxis()->SetRangeUser(0.,maxY);
      hd->GetXaxis()->SetRangeUser(options[names[i]].min,options[names[i]].max);

      BtmPad->cd();
      std::cout << "Division" << std::endl;

      TH1D * divisionErrorBand = (TH1D*)(hmc)->Clone("divisionErrorBand");
      divisionErrorBand->Sumw2();
      divisionErrorBand->Divide(hmc);
      divisionErrorBand->Draw("E2");      
      divisionErrorBand->SetMaximum(2.49);
      divisionErrorBand->SetMinimum(0);
      divisionErrorBand->SetMarkerStyle(20);
      divisionErrorBand->SetMarkerSize(0.55);
      divisionErrorBand->GetXaxis()->SetTitleOffset(1.12);
      divisionErrorBand->GetXaxis()->SetLabelSize(0.12);
      divisionErrorBand->GetXaxis()->SetTitleSize(0.5);
      divisionErrorBand->GetYaxis()->SetTitle("Data/MC");
      divisionErrorBand->GetYaxis()->SetLabelSize(0.12);
      divisionErrorBand->GetYaxis()->SetTitleSize(0.12);
      divisionErrorBand->GetYaxis()->SetTitleOffset(0.40);
      divisionErrorBand->GetYaxis()->SetNdivisions(505);
      //divisionErrorBand->UseCurrentStyle();
      divisionErrorBand->SetFillColor(2);
      divisionErrorBand->SetFillStyle(3001);
      divisionErrorBand->SetMarkerSize(0.);

      TH1D * division = (TH1D*)(hd)->Clone("division");
      division->Sumw2();
      division->Divide(hmc);
//       division->SetMaximum(2.5);
//       division->SetMinimum(0);
//       division->SetMarkerStyle(20);
//       division->SetMarkerSize(0.55);
//       division->GetXaxis()->SetLabelSize(0.12);
//       division->GetXaxis()->SetTitleSize(0.14);
//       division->GetYaxis()->SetLabelSize(0.10);
//       division->GetYaxis()->SetTitleSize(0.10);
//      division->GetYaxis()->SetTitle("Data/MC");
      Double_t min = division->GetXaxis()->GetXmin();
      Double_t max = division->GetXaxis()->GetXmax();
      division->Draw("E1X0same");

      TLine *line = new TLine(min, 1.0, max, 1.0);
      line->SetLineColor(kRed);
      line->Draw("same");
      
      TLegend * leg3 =new TLegend(0.50,0.86,0.69,0.96);
      leg3->AddEntry(divisionErrorBand,"MC uncert. (stat.)","f");
      leg3->SetFillColor(0);
      leg3->SetLineColor(0);
      leg3->SetShadowColor(0);
      leg3->SetTextFont(62);
      leg3->SetTextSize(0.06);
      leg3->Draw();

      TPaveText *pave = new TPaveText(0.15,0.85,0.32,0.96,"brNDC");
      pave->SetTextAlign(12);
      pave->SetLineColor(0);
      pave->SetFillColor(0);
      pave->SetShadowColor(0);
      //TText *text = pave->AddText(Form("#chi_{#nu}^{2} = %.3f, K_{s} = %.3f",histDt->Chi2Test(histCopyMC5,"UWCHI2/NDF"),histDt->KolmogorovTest(histCopyMC5))); // stat + sys
      TText *text = pave->AddText(Form("#chi_{#nu}^{2} = %.3f, K_{s} = %.3f",hd->Chi2Test(hmc,"UWCHI2/NDF"),hd->KolmogorovTest(hmc))); // stat only
      text->SetTextFont(62);
      text->SetTextSize(0.08);
      pave->Draw();

      TopPad->cd();
      TLatex latex;
      latex.SetNDC();
      latex.SetTextAlign(12);
      latex.SetTextSize(0.052);
      latex.DrawLatex(0.17,0.89,"CMS Preliminary");
      latex.SetTextSize(0.04);
      latex.DrawLatex(0.17,0.84,"#sqrt{s} = 7 TeV, L = 4.7 fb^{-1}");
      //      latex.DrawLatex(0.17,0.79,"Z(e^{+}e^{-})H(b#bar{b})");
      latex.DrawLatex(0.17,0.79,process.c_str());
      c->Update();
      std::string cName= hd->GetName();
      cName += "_bare.pdf";
      cName = path+cName;
      c->Print(cName.c_str(),"pdf");

//       std::cout << names[i] << " d: " <<  hd->Integral() << " ";
//       THStack * sta2 = new THStack("sta2",hd->GetTitle());
//       float tot=0;
//       float toterr2=0;

//       if(debug_)
// 	std::cout << "Putting the iterator in the for loop" << std::endl;
//       for(std::map<std::string,TH1F *>::reverse_iterator it=grouped.rbegin(); it!=grouped.rend();++it)
//  	{
// 	  if(debug_)
// 	    std::cout << "Using the iterator" << std::endl;
// 	  std::cout << (*it).first << " " << (*it).second->Integral() << " | " << std::endl ;
// 	  if((*it).second->GetEntries() > 0) {
// 	    float er=1.*sqrt((*it).second->GetEntries())/(*it).second->GetEntries()*(*it).second->Integral();
// 	    toterr2+=er*er;
// 	  }
// 	  tot+=(*it).second->Integral();
// 	  sta2->Add(it->second);
//  	}
//       std::cout << " Tot: " << tot << "+-" << sqrt(toterr2) <<  " SF: " << hd->Integral()/tot << std::endl;
//       TCanvas *c2 = new TCanvas();
//       c2->SetTitle(names[i].c_str());
//       std::cout << "hd maximum = " << hd->GetMaximum() << "  sta2 maximum = " << sta2->GetMaximum() << std::endl;
//       if(hd->GetMaximum() > sta2->GetMaximum()) maxY =  hd->GetBinContent(hd->GetMaximumBin()) * 1.5;
//       else maxY = ( sta2->GetMaximum())*1.5;
//       //      hd->Draw("E1"); 
//       sta2->Draw("PADSHIST");
//       //    hd->Draw("E1same");
//       //      l->Draw("same");
//       std::cout << "Set Maximum to = " << maxY << std::endl;
//       hd->GetYaxis()->SetRangeUser(0.,maxY);
//       hd->GetXaxis()->SetRangeUser(options[names[i]].min,options[names[i]].max);
//       c2->Update();

//       std::string c2Name = hd->GetName();
//       c2Name = path+c2Name;
//       c2Name += "_norm.pdf";
//       c2->Print(c2Name.c_str(),"pdf");  

    }

}
Esempio n. 30
0
void test()
{
//Illustrates TVirtualFitter::GetConfidenceIntervals
//This method computes confidence intervals for the fitted function
//Author: Anna Kreshuk

   TCanvas *myc = new TCanvas("myc",
      "Confidence intervals on the fitted function",1200, 500);
   myc->Divide(3,1);

/////1. A graph
   //Create and fill a graph
   Int_t ngr = 100;
   TGraph *gr = new TGraph(ngr);
   gr->SetName("GraphNoError");
   Double_t x, y;
   Int_t i;
   for (i=0; i<ngr; i++){
      x = gRandom->Uniform(-1, 1);
      y = -1 + 2*x + gRandom->Gaus(0, 1);
      gr->SetPoint(i, x, y);
   }
   //Create the fitting function
   TF1 *fpol = new TF1("fpol", "pol1", -1, 1);
   fpol->SetLineWidth(2);
   gr->Fit(fpol, "Q");

   //Create a TGraphErrors to hold the confidence intervals
   TGraphErrors *grint = new TGraphErrors(ngr);
   grint->SetTitle("Fitted line with .95 conf. band");
   for (i=0; i<ngr; i++)
      grint->SetPoint(i, gr->GetX()[i], 0);
   //Compute the confidence intervals at the x points of the created graph
   (TVirtualFitter::GetFitter())->GetConfidenceIntervals(grint);
   //Now the "grint" graph contains function values as its y-coordinates
   //and confidence intervals as the errors on these coordinates
   //Draw the graph, the function and the confidence intervals
   myc->cd(1);
   grint->SetLineColor(kRed);
   grint->Draw("ap");
   gr->SetMarkerStyle(5);
   gr->SetMarkerSize(0.7);
   gr->Draw("psame");

/////2. A histogram
   myc->cd(2);
   //Create, fill and fit a histogram
   Int_t nh=5000;
   TH1D *h = new TH1D("h",
      "Fitted gaussian with .95 conf.band", 100, -3, 3);
   h->FillRandom("gaus", nh);
   TF1 *f = new TF1("fgaus", "gaus", -3, 3);
   f->SetLineWidth(2);
   h->Fit(f, "Q");
   h->Draw();

   //Create a histogram to hold the confidence intervals
   TH1D *hint = new TH1D("hint",
      "Fitted gaussian with .95 conf.band", 100, -3, 3);
   (TVirtualFitter::GetFitter())->GetConfidenceIntervals(hint);
   //Now the "hint" histogram has the fitted function values as the
   //bin contents and the confidence intervals as bin errors
   hint->SetStats(kFALSE);
   hint->SetFillColor(2);
   hint->Draw("e3 same");

/////3. A 2d graph
   //Create and fill the graph
   Int_t ngr2 = 100;
   Double_t z, rnd, e=0.3;
   TGraph2D *gr2 = new TGraph2D(ngr2);
   gr2->SetName("Graph2DNoError");
   TF2  *f2 = new TF2("f2",
      "1000*(([0]*sin(x)/x)*([1]*sin(y)/y))+250",-6,6,-6,6);
   f2->SetParameters(1,1);
   for (i=0; i<ngr2; i++){
      f2->GetRandom2(x,y);
      // Generate a random number in [-e,e]
      rnd = 2*gRandom->Rndm()*e-e;
      z = f2->Eval(x,y)*(1+rnd);
      gr2->SetPoint(i,x,y,z);
   }
   //Create a graph with errors to store the intervals
   TGraph2DErrors *grint2 = new TGraph2DErrors(ngr2);
   for (i=0; i<ngr2; i++)
      grint2->SetPoint(i, gr2->GetX()[i], gr2->GetY()[i], 0);

   //Fit the graph
   f2->SetParameters(0.5,1.5);
   gr2->Fit(f2, "Q");
   //Compute the confidence intervals
   (TVirtualFitter::GetFitter())->GetConfidenceIntervals(grint2);
   //Now the "grint2" graph contains function values as z-coordinates
   //and confidence intervals as their errors
   //draw
   myc->cd(3);
   f2->SetNpx(30);
   f2->SetNpy(30);
   f2->SetFillColor(kBlue);
   f2->Draw("surf4");
   grint2->SetNpx(20);
   grint2->SetNpy(20);
   grint2->SetMarkerStyle(24);
   grint2->SetMarkerSize(0.7);
   grint2->SetMarkerColor(kRed);
   grint2->SetLineColor(kRed);
   grint2->Draw("E0 same");
   grint2->SetTitle("Fitted 2d function with .95 error bars");

   myc->cd();

}